{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX B RESULTS.12-23-2024.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}25 Dec 2024, 21:53:12
{txt}
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. **** JSB UPDATED DATABASE: ADDING EXECUTIVE NOMINATION POSITIONS COVERED IN OSTRANDER DATABASE FROM MAY 2012 THROUGH DECEMBER 2020 AND UPDATING ALL OTHER DATA [SUMMER/FALL 2023]: /// 
> *** ADDITIONAL VARIABLES ADDED IN MARCH 2024 IN RESPSONSE TO LSQ REFEREE REPORTS ****
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. **** "EXECUTIVE DEFERENCE OR LEGISLATIVE CONSTRAINT? COMMITTEE FOUNDATIONS OF CONFIRMATION DELAY FOR U.S. EXECUTIVE BRANCH APPOINTMENTS" [KRAUSE & BYERS] ****
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. *** APPENDIX B: ALTERNATIVE IDEOLOGICAL-BASED TESTS OF THE SELECTIVE COMMITTEE DELAY HYPOTHESIS ***
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.  * OPEN UPDATED "CONFIRMATION DELAY & SENATE COMMITTEES PROJECT" MANUSCRIPT DATABASE [12-23-2024] *
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. *use "C:\Users\gk57526\Dropbox\Confirmation Dynamics Project (Jason Byers)\Confirmation Delay & Senate Committees\2023 Version\Fall 2024\Statistics\Data\Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace
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. use "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Data/Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace
{txt}
{com}. 
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. ** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES  **
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. stset legvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, legvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (legvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    988,097{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      730
{txt}
{com}. 
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. *** I. EVALUATING THE IDEOLOGICAL [SENATE FILIBUSTER PIVOT] VERSION OF THE PSCD SELECTIVE COMMITTEE DELAY HYPOTHESIS ***
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. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & SENATE FILIBUSTER PIVOT DISTANCE IN RELATION TO THE PRESIDENT'S IDEAL POINT [MODEL B1: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##c.pressenfilipivotabsdist experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-59700.769
{txt}Iteration 1:  Log pseudolikelihood = {res}-59480.017
{txt}Iteration 2:  Log pseudolikelihood = {res}-58869.843
{txt}Iteration 3:  Log pseudolikelihood = {res}-58816.865
{txt}Iteration 4:  Log pseudolikelihood = {res}-58815.612
{txt}Iteration 5:  Log pseudolikelihood = {res}-58815.611
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-58815.611

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:17359.49}
{txt}Log pseudolikelihood = {res}-58815.611{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .3396927{col 29}{space 2} .1563679{col 40}{space 1}   -2.35{col 49}{space 3}0.019{col 57}{space 4} .1378034{col 70}{space 3} .8373607
{txt}pressenfilipi~t {c |}{col 17}{res}{space 2} .5350963{col 29}{space 2} .2874609{col 40}{space 1}   -1.16{col 49}{space 3}0.244{col 57}{space 4} .1867046{col 70}{space 3} 1.533589
{txt}{space 15} {c |}
{space 13}c. {c |}
committee_pres1#{c |}
{space 13}c. {c |}
pressenfilipi~t {c |}{col 17}{res}{space 2} 2.771426{col 29}{space 2} 2.447434{col 40}{space 1}    1.15{col 49}{space 3}0.248{col 57}{space 4} .4909203{col 70}{space 3} 15.64572
{txt}{space 15} {c |}
experience_me~n {c |}{col 17}{res}{space 2} 1.003569{col 29}{space 2} .0126685{col 40}{space 1}    0.28{col 49}{space 3}0.778{col 57}{space 4} .9790442{col 70}{space 3} 1.028709
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9948129{col 29}{space 2} .0037068{col 40}{space 1}   -1.40{col 49}{space 3}0.163{col 57}{space 4} .9875742{col 70}{space 3} 1.002105
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9729395{col 29}{space 2} .0872569{col 40}{space 1}   -0.31{col 49}{space 3}0.760{col 57}{space 4} .8161065{col 70}{space 3} 1.159911
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001093{col 29}{space 2} .0025714{col 40}{space 1}    0.43{col 49}{space 3}0.671{col 57}{space 4}  .996066{col 70}{space 3} 1.006146
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.867361{col 29}{space 2} .2401579{col 40}{space 1}   12.58{col 49}{space 3}0.000{col 57}{space 4} 2.433265{col 70}{space 3} 3.378901
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6575269{col 29}{space 2} .0426948{col 40}{space 1}   -6.46{col 49}{space 3}0.000{col 57}{space 4} .5789526{col 70}{space 3} .7467653
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8326255{col 29}{space 2} .0614267{col 40}{space 1}   -2.48{col 49}{space 3}0.013{col 57}{space 4} .7205309{col 70}{space 3} .9621589
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  1.00001{col 29}{space 2} .0000273{col 40}{space 1}    0.37{col 49}{space 3}0.712{col 57}{space 4} .9999565{col 70}{space 3} 1.000064
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0073645{col 29}{space 2} .0073445{col 40}{space 1}   -4.92{col 49}{space 3}0.000{col 57}{space 4} .0010429{col 70}{space 3} .0520031
{txt}{space 7}workload {c |}{col 17}{res}{space 2}  1.00122{col 29}{space 2} .0013035{col 40}{space 1}    0.94{col 49}{space 3}0.349{col 57}{space 4} .9986681{col 70}{space 3} 1.003778
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9944266{col 29}{space 2} .0439945{col 40}{space 1}   -0.13{col 49}{space 3}0.899{col 57}{space 4} .9118316{col 70}{space 3} 1.084503
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9540632{col 29}{space 2} .0474922{col 40}{space 1}   -0.94{col 49}{space 3}0.345{col 57}{space 4}  .865377{col 70}{space 3} 1.051838
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .667046{col 29}{space 2} .0743437{col 40}{space 1}   -3.63{col 49}{space 3}0.000{col 57}{space 4} .5361515{col 70}{space 3} .8298968
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9383822{col 29}{space 2} .0431808{col 40}{space 1}   -1.38{col 49}{space 3}0.167{col 57}{space 4} .8574538{col 70}{space 3} 1.026949
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8192274{col 29}{space 2} .1434796{col 40}{space 1}   -1.14{col 49}{space 3}0.255{col 57}{space 4}  .581199{col 70}{space 3} 1.154739
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7979223{col 29}{space 2} .0938263{col 40}{space 1}   -1.92{col 49}{space 3}0.055{col 57}{space 4} .6336789{col 70}{space 3} 1.004736
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9991289{col 29}{space 2} .0819616{col 40}{space 1}   -0.01{col 49}{space 3}0.992{col 57}{space 4} .8507361{col 70}{space 3} 1.173406
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9411592{col 29}{space 2} .0676462{col 40}{space 1}   -0.84{col 49}{space 3}0.399{col 57}{space 4} .8174904{col 70}{space 3} 1.083537
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9044887{col 29}{space 2} .0635647{col 40}{space 1}   -1.43{col 49}{space 3}0.153{col 57}{space 4} .7881036{col 70}{space 3} 1.038061
{txt}{space 11}fvra {c |}{col 17}{res}{space 2}  1.19831{col 29}{space 2} .0828047{col 40}{space 1}    2.62{col 49}{space 3}0.009{col 57}{space 4} 1.046527{col 70}{space 3} 1.372108
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9673845{col 29}{space 2} .0421281{col 40}{space 1}   -0.76{col 49}{space 3}0.446{col 57}{space 4} .8882406{col 70}{space 3}  1.05358
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7749852{col 29}{space 2} .0546966{col 40}{space 1}   -3.61{col 49}{space 3}0.000{col 57}{space 4}  .674866{col 70}{space 3} .8899574
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.256119{col 29}{space 2} .0798468{col 40}{space 1}    3.59{col 49}{space 3}0.000{col 57}{space 4} 1.108978{col 70}{space 3} 1.422783
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9622498{col 29}{space 2} .1063161{col 40}{space 1}   -0.35{col 49}{space 3}0.728{col 57}{space 4} .7748919{col 70}{space 3} 1.194908
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9384075{col 29}{space 2} .0796013{col 40}{space 1}   -0.75{col 49}{space 3}0.454{col 57}{space 4} .7946713{col 70}{space 3} 1.108142
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.820304{col 29}{space 2} .5010364{col 40}{space 1}   10.22{col 49}{space 3}0.000{col 57}{space 4} 2.954351{col 70}{space 3} 4.940078
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.096043{col 29}{space 2} .1598516{col 40}{space 1}    0.63{col 49}{space 3}0.529{col 57}{space 4} .8235396{col 70}{space 3} 1.458715
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.350936{col 29}{space 2} .1721074{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} 1.052429{col 70}{space 3}  1.73411
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.010817{col 29}{space 2}  .098126{col 40}{space 1}    0.11{col 49}{space 3}0.912{col 57}{space 4}  .835683{col 70}{space 3} 1.222655
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .7604356{col 29}{space 2} .1937215{col 40}{space 1}   -1.08{col 49}{space 3}0.282{col 57}{space 4} .4615495{col 70}{space 3} 1.252872
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9183864{col 29}{space 2} .1084196{col 40}{space 1}   -0.72{col 49}{space 3}0.471{col 57}{space 4} .7286808{col 70}{space 3}  1.15748
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6368214{col 29}{space 2} .1356393{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4} .4194851{col 70}{space 3} .9667601
{txt}{space 12}11  {c |}{col 17}{res}{space 2}  .998384{col 29}{space 2} .2527637{col 40}{space 1}   -0.01{col 49}{space 3}0.995{col 57}{space 4} .6078502{col 70}{space 3}  1.63983
{txt}{space 12}12  {c |}{col 17}{res}{space 2} .9386823{col 29}{space 2} .2821658{col 40}{space 1}   -0.21{col 49}{space 3}0.833{col 57}{space 4} .5207741{col 70}{space 3} 1.691951
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7893613{col 29}{space 2}  .070844{col 40}{space 1}   -2.64{col 49}{space 3}0.008{col 57}{space 4} .6620363{col 70}{space 3} .9411739
{txt}{space 12}14  {c |}{col 17}{res}{space 2}  1.40625{col 29}{space 2} .3217289{col 40}{space 1}    1.49{col 49}{space 3}0.136{col 57}{space 4} .8980908{col 70}{space 3} 2.201935
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.225582{col 29}{space 2} .4140461{col 40}{space 1}    0.60{col 49}{space 3}0.547{col 57}{space 4} .6320856{col 70}{space 3} 2.376343
{txt}{space 12}16  {c |}{col 17}{res}{space 2}  1.04704{col 29}{space 2} .2837735{col 40}{space 1}    0.17{col 49}{space 3}0.865{col 57}{space 4} .6155549{col 70}{space 3} 1.780983
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6752254{col 29}{space 2} .0840328{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4} .5290729{col 70}{space 3} .8617515
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .9859086{col 29}{space 2} .2415257{col 40}{space 1}   -0.06{col 49}{space 3}0.954{col 57}{space 4} .6099737{col 70}{space 3} 1.593537
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5741969{col 29}{space 2} .0480784{col 40}{space 1}   -6.63{col 49}{space 3}0.000{col 57}{space 4} .4872911{col 70}{space 3}  .676602
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9363649{col 29}{space 2} .0784209{col 40}{space 1}   -0.79{col 49}{space 3}0.432{col 57}{space 4} .7946148{col 70}{space 3} 1.103402
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.479301{col 29}{space 2} .3609323{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4}  .917008{col 70}{space 3} 2.386381
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.676953{col 29}{space 2}  .553849{col 40}{space 1}    1.57{col 49}{space 3}0.118{col 57}{space 4} .8777964{col 70}{space 3} 3.203673
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.114016{col 29}{space 2} .5319618{col 40}{space 1}    2.97{col 49}{space 3}0.003{col 57}{space 4} 1.290969{col 70}{space 3} 3.461792
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.786494{col 29}{space 2} .7366093{col 40}{space 1}    1.41{col 49}{space 3}0.159{col 57}{space 4} .7962198{col 70}{space 3}  4.00839
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.664589{col 29}{space 2} .8003606{col 40}{space 1}    1.06{col 49}{space 3}0.289{col 57}{space 4} .6486882{col 70}{space 3} 4.271477
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-59700.77{col 39}-58815.61{col 50}    19{col 58} 117669.2{col 69}   117806
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
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. estimates store modelB1
{txt}
{com}. estout modelB1, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                  modelB1   
{txt}                     b/se   
{txt}{hline 28}
{txt}committee_~1{res}        0.340*  {txt}
            {res}      (0.156)   {txt}
{txt}pressenfil~t{res}        0.535   {txt}
            {res}      (0.287)   {txt}
{txt}c.committe~v{res}        2.771   {txt}
            {res}      (2.447)   {txt}
{txt}experience~n{res}        1.004   {txt}
            {res}      (0.013)   {txt}
{txt}committees~e{res}        0.995   {txt}
            {res}      (0.004)   {txt}
{txt}ln_combill~d{res}        0.973   {txt}
            {res}      (0.087)   {txt}
{txt}pres_app_m  {res}        1.001   {txt}
            {res}      (0.003)   {txt}
{txt}first90     {res}        2.867***{txt}
            {res}      (0.240)   {txt}
{txt}preselection{res}        0.658***{txt}
            {res}      (0.043)   {txt}
{txt}lameduck    {res}        0.833*  {txt}
            {res}      (0.061)   {txt}
{txt}kv_workload {res}        1.000   {txt}
            {res}      (0.000)   {txt}
{txt}polarization{res}        0.007***{txt}
            {res}      (0.007)   {txt}
{txt}workload    {res}        1.001   {txt}
            {res}      (0.001)   {txt}
{txt}female      {res}        0.994   {txt}
            {res}      (0.044)   {txt}
{txt}priorconfirm{res}        0.954   {txt}
            {res}      (0.047)   {txt}
{txt}denied      {res}        0.667***{txt}
            {res}      (0.074)   {txt}
{txt}x_itier_2   {res}        0.938   {txt}
            {res}      (0.043)   {txt}
{txt}x_itier_3   {res}        0.819   {txt}
            {res}      (0.143)   {txt}
{txt}x_itier_4   {res}        0.798   {txt}
            {res}      (0.094)   {txt}
{txt}defense     {res}        0.999   {txt}
            {res}      (0.082)   {txt}
{txt}infrastruc~e{res}        0.941   {txt}
            {res}      (0.068)   {txt}
{txt}social      {res}        0.904   {txt}
            {res}      (0.064)   {txt}
{txt}fvra        {res}        1.198** {txt}
            {res}      (0.083)   {txt}
{txt}firstrecess {res}        0.967   {txt}
            {res}      (0.042)   {txt}
{txt}secondrecess{res}        0.775***{txt}
            {res}      (0.055)   {txt}
{txt}policy_maj~y{res}        1.256***{txt}
            {res}      (0.080)   {txt}
{txt}1.kbcom_1   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.kbcom_1   {res}        0.962   {txt}
            {res}      (0.106)   {txt}
{txt}3.kbcom_1   {res}        0.938   {txt}
            {res}      (0.080)   {txt}
{txt}4.kbcom_1   {res}        3.820***{txt}
            {res}      (0.501)   {txt}
{txt}5.kbcom_1   {res}        1.096   {txt}
            {res}      (0.160)   {txt}
{txt}6.kbcom_1   {res}        1.351*  {txt}
            {res}      (0.172)   {txt}
{txt}7.kbcom_1   {res}        1.011   {txt}
            {res}      (0.098)   {txt}
{txt}8.kbcom_1   {res}        0.760   {txt}
            {res}      (0.194)   {txt}
{txt}9.kbcom_1   {res}        0.918   {txt}
            {res}      (0.108)   {txt}
{txt}10.kbcom_1  {res}        0.637*  {txt}
            {res}      (0.136)   {txt}
{txt}11.kbcom_1  {res}        0.998   {txt}
            {res}      (0.253)   {txt}
{txt}12.kbcom_1  {res}        0.939   {txt}
            {res}      (0.282)   {txt}
{txt}13.kbcom_1  {res}        0.789** {txt}
            {res}      (0.071)   {txt}
{txt}14.kbcom_1  {res}        1.406   {txt}
            {res}      (0.322)   {txt}
{txt}15.kbcom_1  {res}        1.226   {txt}
            {res}      (0.414)   {txt}
{txt}16.kbcom_1  {res}        1.047   {txt}
            {res}      (0.284)   {txt}
{txt}17.kbcom_1  {res}        0.675** {txt}
            {res}      (0.084)   {txt}
{txt}18.kbcom_1  {res}        0.986   {txt}
            {res}      (0.242)   {txt}
{txt}19.kbcom_1  {res}        0.574***{txt}
            {res}      (0.048)   {txt}
{txt}20.kbcom_1  {res}        0.936   {txt}
            {res}      (0.078)   {txt}
{txt}1.presrev   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.presrev   {res}        1.479   {txt}
            {res}      (0.361)   {txt}
{txt}3.presrev   {res}        1.677   {txt}
            {res}      (0.554)   {txt}
{txt}4.presrev   {res}        2.114** {txt}
            {res}      (0.532)   {txt}
{txt}5.presrev   {res}        1.786   {txt}
            {res}      (0.737)   {txt}
{txt}6.presrev   {res}        1.665   {txt}
            {res}      (0.800)   {txt}
{txt}{hline 28}

{com}. *
. *
. 
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. 
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. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & SENATE FILIBUSTER PIVOT DISTANCE IN RELATION TO THE PRESIDENT'S IDEAL POINT [MODEL B2: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##c.pressenfilipivotabsdist chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-59700.769
{txt}Iteration 1:  Log pseudolikelihood = {res}-59446.023
{txt}Iteration 2:  Log pseudolikelihood = {res}-58840.941
{txt}Iteration 3:  Log pseudolikelihood = {res}-58788.767
{txt}Iteration 4:  Log pseudolikelihood = {res}-58787.548
{txt}Iteration 5:  Log pseudolikelihood = {res}-58787.547
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-58787.547

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:72089.61}
{txt}Log pseudolikelihood = {res}-58787.547{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .2216029{col 29}{space 2}  .098133{col 40}{space 1}   -3.40{col 49}{space 3}0.001{col 57}{space 4} .0930327{col 70}{space 3} .5278557
{txt}pressenfilipi~t {c |}{col 17}{res}{space 2} .3304359{col 29}{space 2} .1058939{col 40}{space 1}   -3.46{col 49}{space 3}0.001{col 57}{space 4} .1763213{col 70}{space 3} .6192549
{txt}{space 15} {c |}
{space 2}c.chair_pres1#{c |}
{space 13}c. {c |}
pressenfilipi~t {c |}{col 17}{res}{space 2} 13.94441{col 29}{space 2} 12.96813{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} 2.253166{col 70}{space 3} 86.29925
{txt}{space 15} {c |}
chair_experie~1 {c |}{col 17}{res}{space 2} 1.006819{col 29}{space 2} .0027725{col 40}{space 1}    2.47{col 49}{space 3}0.014{col 57}{space 4} 1.001399{col 70}{space 3} 1.012267
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9922315{col 29}{space 2} .0038605{col 40}{space 1}   -2.00{col 49}{space 3}0.045{col 57}{space 4} .9846939{col 70}{space 3} .9998269
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9099075{col 29}{space 2}  .077249{col 40}{space 1}   -1.11{col 49}{space 3}0.266{col 57}{space 4} .7704283{col 70}{space 3} 1.074638
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002159{col 29}{space 2}  .002391{col 40}{space 1}    0.90{col 49}{space 3}0.366{col 57}{space 4}  .997484{col 70}{space 3} 1.006857
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.775672{col 29}{space 2} .2464552{col 40}{space 1}   11.50{col 49}{space 3}0.000{col 57}{space 4} 2.332325{col 70}{space 3} 3.303295
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6693353{col 29}{space 2} .0409695{col 40}{space 1}   -6.56{col 49}{space 3}0.000{col 57}{space 4} .5936662{col 70}{space 3} .7546491
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8656894{col 29}{space 2}  .064159{col 40}{space 1}   -1.95{col 49}{space 3}0.052{col 57}{space 4} .7486467{col 70}{space 3} 1.001031
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} 1.000002{col 29}{space 2} .0000216{col 40}{space 1}    0.10{col 49}{space 3}0.920{col 57}{space 4} .9999599{col 70}{space 3} 1.000044
{txt}{space 3}polarization {c |}{col 17}{res}{space 2}  .011391{col 29}{space 2} .0115698{col 40}{space 1}   -4.41{col 49}{space 3}0.000{col 57}{space 4}  .001556{col 70}{space 3} .0833916
{txt}{space 7}workload {c |}{col 17}{res}{space 2}  1.00149{col 29}{space 2} .0013479{col 40}{space 1}    1.11{col 49}{space 3}0.269{col 57}{space 4} .9988512{col 70}{space 3} 1.004135
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9971649{col 29}{space 2} .0439939{col 40}{space 1}   -0.06{col 49}{space 3}0.949{col 57}{space 4} .9145614{col 70}{space 3} 1.087229
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9631675{col 29}{space 2} .0465171{col 40}{space 1}   -0.78{col 49}{space 3}0.437{col 57}{space 4} .8761777{col 70}{space 3} 1.058794
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .670042{col 29}{space 2} .0718658{col 40}{space 1}   -3.73{col 49}{space 3}0.000{col 57}{space 4} .5430075{col 70}{space 3} .8267956
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9394297{col 29}{space 2}  .043237{col 40}{space 1}   -1.36{col 49}{space 3}0.175{col 57}{space 4} .8583966{col 70}{space 3} 1.028112
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8085032{col 29}{space 2}  .140275{col 40}{space 1}   -1.23{col 49}{space 3}0.221{col 57}{space 4} .5754381{col 70}{space 3} 1.135965
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7987954{col 29}{space 2} .0942827{col 40}{space 1}   -1.90{col 49}{space 3}0.057{col 57}{space 4} .6338219{col 70}{space 3} 1.006709
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9567815{col 29}{space 2} .0800504{col 40}{space 1}   -0.53{col 49}{space 3}0.597{col 57}{space 4} .8120744{col 70}{space 3} 1.127275
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9377778{col 29}{space 2} .0686915{col 40}{space 1}   -0.88{col 49}{space 3}0.380{col 57}{space 4}  .812363{col 70}{space 3} 1.082555
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9153329{col 29}{space 2} .0632202{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4} .7994444{col 70}{space 3} 1.048021
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.197305{col 29}{space 2} .0820282{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} 1.046859{col 70}{space 3} 1.369371
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2}  .965429{col 29}{space 2} .0435381{col 40}{space 1}   -0.78{col 49}{space 3}0.435{col 57}{space 4} .8837583{col 70}{space 3} 1.054647
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7668644{col 29}{space 2} .0566636{col 40}{space 1}   -3.59{col 49}{space 3}0.000{col 57}{space 4}  .663473{col 70}{space 3} .8863676
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.269181{col 29}{space 2} .0834817{col 40}{space 1}    3.62{col 49}{space 3}0.000{col 57}{space 4} 1.115668{col 70}{space 3} 1.443818
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9362107{col 29}{space 2} .0819516{col 40}{space 1}   -0.75{col 49}{space 3}0.451{col 57}{space 4} .7886118{col 70}{space 3} 1.111435
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9579452{col 29}{space 2}   .06643{col 40}{space 1}   -0.62{col 49}{space 3}0.536{col 57}{space 4} .8362054{col 70}{space 3} 1.097409
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.503231{col 29}{space 2} .4794169{col 40}{space 1}    9.16{col 49}{space 3}0.000{col 57}{space 4} 2.679056{col 70}{space 3} 4.580951
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.184782{col 29}{space 2} .1585238{col 40}{space 1}    1.27{col 49}{space 3}0.205{col 57}{space 4} .9114808{col 70}{space 3}  1.54003
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.406101{col 29}{space 2} .1601455{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4} 1.124787{col 70}{space 3} 1.757772
{txt}{space 13}7  {c |}{col 17}{res}{space 2}  1.09458{col 29}{space 2} .0936174{col 40}{space 1}    1.06{col 49}{space 3}0.291{col 57}{space 4} .9256477{col 70}{space 3} 1.294342
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .8768847{col 29}{space 2}  .201959{col 40}{space 1}   -0.57{col 49}{space 3}0.568{col 57}{space 4} .5583398{col 70}{space 3} 1.377166
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9584405{col 29}{space 2} .1014327{col 40}{space 1}   -0.40{col 49}{space 3}0.688{col 57}{space 4} .7788999{col 70}{space 3} 1.179366
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7384446{col 29}{space 2} .1523746{col 40}{space 1}   -1.47{col 49}{space 3}0.142{col 57}{space 4} .4928064{col 70}{space 3}  1.10652
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.203537{col 29}{space 2} .2922518{col 40}{space 1}    0.76{col 49}{space 3}0.445{col 57}{space 4} .7477642{col 70}{space 3} 1.937111
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.134123{col 29}{space 2} .3209264{col 40}{space 1}    0.44{col 49}{space 3}0.656{col 57}{space 4} .6513174{col 70}{space 3} 1.974819
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6559466{col 29}{space 2} .0675061{col 40}{space 1}   -4.10{col 49}{space 3}0.000{col 57}{space 4} .5361272{col 70}{space 3} .8025444
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.264764{col 29}{space 2} .2494227{col 40}{space 1}    1.19{col 49}{space 3}0.234{col 57}{space 4} .8593001{col 70}{space 3} 1.861547
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.544685{col 29}{space 2} .5104936{col 40}{space 1}    1.32{col 49}{space 3}0.188{col 57}{space 4} .8082234{col 70}{space 3} 2.952217
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.176856{col 29}{space 2}  .297763{col 40}{space 1}    0.64{col 49}{space 3}0.520{col 57}{space 4} .7167307{col 70}{space 3} 1.932372
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6511135{col 29}{space 2} .0837921{col 40}{space 1}   -3.33{col 49}{space 3}0.001{col 57}{space 4} .5059588{col 70}{space 3} .8379116
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .8310417{col 29}{space 2} .1967516{col 40}{space 1}   -0.78{col 49}{space 3}0.434{col 57}{space 4} .5225144{col 70}{space 3} 1.321744
{txt}{space 12}19  {c |}{col 17}{res}{space 2}  .505669{col 29}{space 2} .0514434{col 40}{space 1}   -6.70{col 49}{space 3}0.000{col 57}{space 4} .4142578{col 70}{space 3} .6172511
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8527874{col 29}{space 2} .0765261{col 40}{space 1}   -1.77{col 49}{space 3}0.076{col 57}{space 4} .7152485{col 70}{space 3} 1.016774
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.804334{col 29}{space 2} .4140869{col 40}{space 1}    2.57{col 49}{space 3}0.010{col 57}{space 4}  1.15072{col 70}{space 3} 2.829202
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  2.32688{col 29}{space 2} .7596866{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} 1.227076{col 70}{space 3} 4.412419
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.322913{col 29}{space 2} .5361784{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} 1.477601{col 70}{space 3} 3.651813
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  2.32243{col 29}{space 2} .8104123{col 40}{space 1}    2.41{col 49}{space 3}0.016{col 57}{space 4} 1.171968{col 70}{space 3} 4.602243
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 2.366237{col 29}{space 2} .8257556{col 40}{space 1}    2.47{col 49}{space 3}0.014{col 57}{space 4} 1.194018{col 70}{space 3} 4.689274
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-59700.77{col 39}-58787.55{col 50}    19{col 58} 117613.1{col 69} 117749.9
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. estimates store modelB2
{txt}
{com}. estout modelB2, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                  modelB2   
{txt}                     b/se   
{txt}{hline 28}
{txt}chair_pres1 {res}        0.222***{txt}
            {res}      (0.098)   {txt}
{txt}pressenfil~t{res}        0.330***{txt}
            {res}      (0.106)   {txt}
{txt}c.chair_pr~b{res}       13.944** {txt}
            {res}     (12.968)   {txt}
{txt}chair_expe~1{res}        1.007*  {txt}
            {res}      (0.003)   {txt}
{txt}committees~e{res}        0.992*  {txt}
            {res}      (0.004)   {txt}
{txt}ln_combill~d{res}        0.910   {txt}
            {res}      (0.077)   {txt}
{txt}pres_app_m  {res}        1.002   {txt}
            {res}      (0.002)   {txt}
{txt}first90     {res}        2.776***{txt}
            {res}      (0.246)   {txt}
{txt}preselection{res}        0.669***{txt}
            {res}      (0.041)   {txt}
{txt}lameduck    {res}        0.866   {txt}
            {res}      (0.064)   {txt}
{txt}kv_workload {res}        1.000   {txt}
            {res}      (0.000)   {txt}
{txt}polarization{res}        0.011***{txt}
            {res}      (0.012)   {txt}
{txt}workload    {res}        1.001   {txt}
            {res}      (0.001)   {txt}
{txt}female      {res}        0.997   {txt}
            {res}      (0.044)   {txt}
{txt}priorconfirm{res}        0.963   {txt}
            {res}      (0.047)   {txt}
{txt}denied      {res}        0.670***{txt}
            {res}      (0.072)   {txt}
{txt}x_itier_2   {res}        0.939   {txt}
            {res}      (0.043)   {txt}
{txt}x_itier_3   {res}        0.809   {txt}
            {res}      (0.140)   {txt}
{txt}x_itier_4   {res}        0.799   {txt}
            {res}      (0.094)   {txt}
{txt}defense     {res}        0.957   {txt}
            {res}      (0.080)   {txt}
{txt}infrastruc~e{res}        0.938   {txt}
            {res}      (0.069)   {txt}
{txt}social      {res}        0.915   {txt}
            {res}      (0.063)   {txt}
{txt}fvra        {res}        1.197** {txt}
            {res}      (0.082)   {txt}
{txt}firstrecess {res}        0.965   {txt}
            {res}      (0.044)   {txt}
{txt}secondrecess{res}        0.767***{txt}
            {res}      (0.057)   {txt}
{txt}policy_maj~y{res}        1.269***{txt}
            {res}      (0.083)   {txt}
{txt}1.kbcom_1   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.kbcom_1   {res}        0.936   {txt}
            {res}      (0.082)   {txt}
{txt}3.kbcom_1   {res}        0.958   {txt}
            {res}      (0.066)   {txt}
{txt}4.kbcom_1   {res}        3.503***{txt}
            {res}      (0.479)   {txt}
{txt}5.kbcom_1   {res}        1.185   {txt}
            {res}      (0.159)   {txt}
{txt}6.kbcom_1   {res}        1.406** {txt}
            {res}      (0.160)   {txt}
{txt}7.kbcom_1   {res}        1.095   {txt}
            {res}      (0.094)   {txt}
{txt}8.kbcom_1   {res}        0.877   {txt}
            {res}      (0.202)   {txt}
{txt}9.kbcom_1   {res}        0.958   {txt}
            {res}      (0.101)   {txt}
{txt}10.kbcom_1  {res}        0.738   {txt}
            {res}      (0.152)   {txt}
{txt}11.kbcom_1  {res}        1.204   {txt}
            {res}      (0.292)   {txt}
{txt}12.kbcom_1  {res}        1.134   {txt}
            {res}      (0.321)   {txt}
{txt}13.kbcom_1  {res}        0.656***{txt}
            {res}      (0.068)   {txt}
{txt}14.kbcom_1  {res}        1.265   {txt}
            {res}      (0.249)   {txt}
{txt}15.kbcom_1  {res}        1.545   {txt}
            {res}      (0.510)   {txt}
{txt}16.kbcom_1  {res}        1.177   {txt}
            {res}      (0.298)   {txt}
{txt}17.kbcom_1  {res}        0.651***{txt}
            {res}      (0.084)   {txt}
{txt}18.kbcom_1  {res}        0.831   {txt}
            {res}      (0.197)   {txt}
{txt}19.kbcom_1  {res}        0.506***{txt}
            {res}      (0.051)   {txt}
{txt}20.kbcom_1  {res}        0.853   {txt}
            {res}      (0.077)   {txt}
{txt}1.presrev   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.presrev   {res}        1.804*  {txt}
            {res}      (0.414)   {txt}
{txt}3.presrev   {res}        2.327** {txt}
            {res}      (0.760)   {txt}
{txt}4.presrev   {res}        2.323***{txt}
            {res}      (0.536)   {txt}
{txt}5.presrev   {res}        2.322*  {txt}
            {res}      (0.810)   {txt}
{txt}6.presrev   {res}        2.366*  {txt}
            {res}      (0.826)   {txt}
{txt}{hline 28}

{com}. *
. *
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.  
.  
.  
.  
. ***  SECOND SET OF ANALYSES: INCLUSION OF ADDITIONAL CONTROL COVARIATES BEYOND COMMITTEE-LEVEL & ADMINISTRATION UNIT EFFECTS ***
. 
. 
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & SENATE FILIBUSTER PIVOT DISTANCE IN RELATION TO THE PRESIDENT'S IDEAL POINT [MODEL B3: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##c.pressenfilipivotabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-14114.273
{txt}Iteration 1:  Log pseudolikelihood = {res}-14091.777
{txt}Iteration 2:  Log pseudolikelihood = {res}-14091.776

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14091.776}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-13965.391}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-13157.917}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-13137.028}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-13136.961}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-13136.961}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-13136.961{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .3344427{col 29}{space 2} .1933614{col 40}{space 1}   -1.89{col 49}{space 3}0.058{col 57}{space 4} .1076938{col 70}{space 3}  1.03861
{txt}pressenfilipi~t {c |}{col 17}{res}{space 2} .5629065{col 29}{space 2} .4218832{col 40}{space 1}   -0.77{col 49}{space 3}0.443{col 57}{space 4} .1295638{col 70}{space 3} 2.445619
{txt}{space 15} {c |}
{space 13}c. {c |}
committee_pres1#{c |}
{space 13}c. {c |}
pressenfilipi~t {c |}{col 17}{res}{space 2} 2.412575{col 29}{space 2} 2.886352{col 40}{space 1}    0.74{col 49}{space 3}0.462{col 57}{space 4} .2312713{col 70}{space 3} 25.16749
{txt}{space 15} {c |}
experience_me~n {c |}{col 17}{res}{space 2}  1.01047{col 29}{space 2} .0154748{col 40}{space 1}    0.68{col 49}{space 3}0.496{col 57}{space 4}  .980591{col 70}{space 3}  1.04126
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9956688{col 29}{space 2} .0040737{col 40}{space 1}   -1.06{col 49}{space 3}0.289{col 57}{space 4} .9877165{col 70}{space 3} 1.003685
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9534185{col 29}{space 2} .0909611{col 40}{space 1}   -0.50{col 49}{space 3}0.617{col 57}{space 4} .7908143{col 70}{space 3} 1.149457
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001415{col 29}{space 2} .0031686{col 40}{space 1}    0.45{col 49}{space 3}0.655{col 57}{space 4} .9952239{col 70}{space 3} 1.007645
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.623329{col 29}{space 2} .1988595{col 40}{space 1}   12.72{col 49}{space 3}0.000{col 57}{space 4} 2.261143{col 70}{space 3} 3.043529
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7540551{col 29}{space 2} .0515597{col 40}{space 1}   -4.13{col 49}{space 3}0.000{col 57}{space 4} .6594787{col 70}{space 3} .8621947
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8217827{col 29}{space 2} .0667931{col 40}{space 1}   -2.41{col 49}{space 3}0.016{col 57}{space 4} .7007656{col 70}{space 3} .9636985
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999707{col 29}{space 2} .0000299{col 40}{space 1}   -0.98{col 49}{space 3}0.327{col 57}{space 4} .9999122{col 70}{space 3} 1.000029
{txt}{space 3}polarization {c |}{col 17}{res}{space 2}  .004861{col 29}{space 2}  .006166{col 40}{space 1}   -4.20{col 49}{space 3}0.000{col 57}{space 4} .0004046{col 70}{space 3} .0584041
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001479{col 29}{space 2} .0015419{col 40}{space 1}    0.96{col 49}{space 3}0.337{col 57}{space 4} .9984612{col 70}{space 3} 1.004506
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9947183{col 29}{space 2} .0463141{col 40}{space 1}   -0.11{col 49}{space 3}0.909{col 57}{space 4}  .907963{col 70}{space 3} 1.089763
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9351668{col 29}{space 2} .0527685{col 40}{space 1}   -1.19{col 49}{space 3}0.235{col 57}{space 4} .8372565{col 70}{space 3} 1.044527
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6141178{col 29}{space 2} .0689251{col 40}{space 1}   -4.34{col 49}{space 3}0.000{col 57}{space 4} .4928532{col 70}{space 3}  .765219
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9166728{col 29}{space 2}   .05359{col 40}{space 1}   -1.49{col 49}{space 3}0.137{col 57}{space 4} .8174324{col 70}{space 3} 1.027961
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7458895{col 29}{space 2} .1569838{col 40}{space 1}   -1.39{col 49}{space 3}0.164{col 57}{space 4} .4937717{col 70}{space 3} 1.126738
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7483679{col 29}{space 2} .0957815{col 40}{space 1}   -2.26{col 49}{space 3}0.024{col 57}{space 4} .5823341{col 70}{space 3} .9617409
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9636323{col 29}{space 2} .0914754{col 40}{space 1}   -0.39{col 49}{space 3}0.696{col 57}{space 4} .8000345{col 70}{space 3} 1.160684
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9203769{col 29}{space 2}  .086669{col 40}{space 1}   -0.88{col 49}{space 3}0.378{col 57}{space 4}  .765263{col 70}{space 3} 1.106931
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8791536{col 29}{space 2} .0811384{col 40}{space 1}   -1.40{col 49}{space 3}0.163{col 57}{space 4}  .733679{col 70}{space 3} 1.053473
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.208976{col 29}{space 2}  .094469{col 40}{space 1}    2.43{col 49}{space 3}0.015{col 57}{space 4} 1.037302{col 70}{space 3} 1.409063
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.025953{col 29}{space 2} .0540519{col 40}{space 1}    0.49{col 49}{space 3}0.627{col 57}{space 4} .9252997{col 70}{space 3} 1.137556
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2}  .826987{col 29}{space 2} .0676561{col 40}{space 1}   -2.32{col 49}{space 3}0.020{col 57}{space 4} .7044686{col 70}{space 3} .9708134
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.312277{col 29}{space 2} .1054944{col 40}{space 1}    3.38{col 49}{space 3}0.001{col 57}{space 4} 1.120979{col 70}{space 3} 1.536222
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9606653{col 29}{space 2} .1281242{col 40}{space 1}   -0.30{col 49}{space 3}0.764{col 57}{space 4} .7396855{col 70}{space 3} 1.247662
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9477413{col 29}{space 2} .0960125{col 40}{space 1}   -0.53{col 49}{space 3}0.596{col 57}{space 4} .7770651{col 70}{space 3} 1.155905
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.115491{col 29}{space 2} .4070007{col 40}{space 1}    8.70{col 49}{space 3}0.000{col 57}{space 4} 2.411723{col 70}{space 3} 4.024626
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.099213{col 29}{space 2} .1826369{col 40}{space 1}    0.57{col 49}{space 3}0.569{col 57}{space 4} .7936932{col 70}{space 3} 1.522338
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.419833{col 29}{space 2} .2151753{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} 1.054965{col 70}{space 3} 1.910894
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.052316{col 29}{space 2} .1202765{col 40}{space 1}    0.45{col 49}{space 3}0.655{col 57}{space 4} .8411174{col 70}{space 3} 1.316546
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .7309611{col 29}{space 2} .2081836{col 40}{space 1}   -1.10{col 49}{space 3}0.271{col 57}{space 4} .4182782{col 70}{space 3} 1.277389
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .8813371{col 29}{space 2} .1266252{col 40}{space 1}   -0.88{col 49}{space 3}0.379{col 57}{space 4} .6650381{col 70}{space 3} 1.167986
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .5721178{col 29}{space 2} .1387286{col 40}{space 1}   -2.30{col 49}{space 3}0.021{col 57}{space 4} .3557001{col 70}{space 3}   .92021
{txt}{space 12}11  {c |}{col 17}{res}{space 2} .9341384{col 29}{space 2} .2503051{col 40}{space 1}   -0.25{col 49}{space 3}0.799{col 57}{space 4} .5524962{col 70}{space 3} 1.579404
{txt}{space 12}12  {c |}{col 17}{res}{space 2} .9168995{col 29}{space 2} .3212815{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4} .4613822{col 70}{space 3} 1.822144
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .8214396{col 29}{space 2}  .088536{col 40}{space 1}   -1.82{col 49}{space 3}0.068{col 57}{space 4} .6650156{col 70}{space 3} 1.014657
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.376542{col 29}{space 2} .3209463{col 40}{space 1}    1.37{col 49}{space 3}0.170{col 57}{space 4} .8716221{col 70}{space 3} 2.173954
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.146337{col 29}{space 2} .4434584{col 40}{space 1}    0.35{col 49}{space 3}0.724{col 57}{space 4} .5370649{col 70}{space 3} 2.446798
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.054147{col 29}{space 2} .3310183{col 40}{space 1}    0.17{col 49}{space 3}0.867{col 57}{space 4} .5696537{col 70}{space 3} 1.950704
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6196556{col 29}{space 2} .0990653{col 40}{space 1}   -2.99{col 49}{space 3}0.003{col 57}{space 4}  .452968{col 70}{space 3} .8476825
{txt}{space 12}18  {c |}{col 17}{res}{space 2}  .766528{col 29}{space 2} .2016437{col 40}{space 1}   -1.01{col 49}{space 3}0.312{col 57}{space 4} .4577306{col 70}{space 3} 1.283648
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .6272654{col 29}{space 2} .0573452{col 40}{space 1}   -5.10{col 49}{space 3}0.000{col 57}{space 4} .5243651{col 70}{space 3} .7503587
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.008937{col 29}{space 2} .1120983{col 40}{space 1}    0.08{col 49}{space 3}0.936{col 57}{space 4} .8115043{col 70}{space 3} 1.254403
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.554776{col 29}{space 2} .3945291{col 40}{space 1}    1.74{col 49}{space 3}0.082{col 57}{space 4} .9455243{col 70}{space 3}   2.5566
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.661986{col 29}{space 2}  .590708{col 40}{space 1}    1.43{col 49}{space 3}0.153{col 57}{space 4} .8281155{col 70}{space 3} 3.335523
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.253242{col 29}{space 2} .5940993{col 40}{space 1}    3.08{col 49}{space 3}0.002{col 57}{space 4}  1.34393{col 70}{space 3} 3.777803
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 2.022498{col 29}{space 2} .9566796{col 40}{space 1}    1.49{col 49}{space 3}0.136{col 57}{space 4} .8003019{col 70}{space 3} 5.111195
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.805767{col 29}{space 2}  .976253{col 40}{space 1}    1.09{col 49}{space 3}0.274{col 57}{space 4}  .625858{col 70}{space 3} 5.210116
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  .630821{col 29}{space 2} .4928553{col 40}{space 1}   -0.59{col 49}{space 3}0.555{col 57}{space 4} .1364172{col 70}{space 3} 2.917044
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0396868{col 29}{space 2} .0152629{col 40}{space 1}    2.60{col 49}{space 3}0.009{col 57}{space 4} .0097721{col 70}{space 3} .0696014
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.040485{col 29}{space 2} .0158808{col 57}{space 4}  1.00982{col 70}{space 3} 1.072081
{txt}            1/p {c |}{col 17}{res}{space 2} .9610904{col 29}{space 2}  .014669{col 57}{space 4} .9327655{col 70}{space 3} .9902755
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-14091.78{col 39}-13136.96{col 50}    19{col 58} 26311.92{col 69} 26448.69
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. estimates store modelB3
{txt}
{com}. estout modelB3, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                  modelB3   
{txt}                     b/se   
{txt}{hline 28}
{res}_t                          {txt}
{txt}committee_~1{res}        0.334   {txt}
            {res}      (0.193)   {txt}
{txt}pressenfil~t{res}        0.563   {txt}
            {res}      (0.422)   {txt}
{txt}c.committe~v{res}        2.413   {txt}
            {res}      (2.886)   {txt}
{txt}experience~n{res}        1.010   {txt}
            {res}      (0.015)   {txt}
{txt}committees~e{res}        0.996   {txt}
            {res}      (0.004)   {txt}
{txt}ln_combill~d{res}        0.953   {txt}
            {res}      (0.091)   {txt}
{txt}pres_app_m  {res}        1.001   {txt}
            {res}      (0.003)   {txt}
{txt}first90     {res}        2.623***{txt}
            {res}      (0.199)   {txt}
{txt}preselection{res}        0.754***{txt}
            {res}      (0.052)   {txt}
{txt}lameduck    {res}        0.822*  {txt}
            {res}      (0.067)   {txt}
{txt}kv_workload {res}        1.000   {txt}
            {res}      (0.000)   {txt}
{txt}polarization{res}        0.005***{txt}
            {res}      (0.006)   {txt}
{txt}workload    {res}        1.001   {txt}
            {res}      (0.002)   {txt}
{txt}female      {res}        0.995   {txt}
            {res}      (0.046)   {txt}
{txt}priorconfirm{res}        0.935   {txt}
            {res}      (0.053)   {txt}
{txt}denied      {res}        0.614***{txt}
            {res}      (0.069)   {txt}
{txt}x_itier_2   {res}        0.917   {txt}
            {res}      (0.054)   {txt}
{txt}x_itier_3   {res}        0.746   {txt}
            {res}      (0.157)   {txt}
{txt}x_itier_4   {res}        0.748*  {txt}
            {res}      (0.096)   {txt}
{txt}defense     {res}        0.964   {txt}
            {res}      (0.091)   {txt}
{txt}infrastruc~e{res}        0.920   {txt}
            {res}      (0.087)   {txt}
{txt}social      {res}        0.879   {txt}
            {res}      (0.081)   {txt}
{txt}fvra        {res}        1.209*  {txt}
            {res}      (0.094)   {txt}
{txt}firstrecess {res}        1.026   {txt}
            {res}      (0.054)   {txt}
{txt}secondrecess{res}        0.827*  {txt}
            {res}      (0.068)   {txt}
{txt}policy_maj~y{res}        1.312***{txt}
            {res}      (0.105)   {txt}
{txt}1.kbcom_1   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.kbcom_1   {res}        0.961   {txt}
            {res}      (0.128)   {txt}
{txt}3.kbcom_1   {res}        0.948   {txt}
            {res}      (0.096)   {txt}
{txt}4.kbcom_1   {res}        3.115***{txt}
            {res}      (0.407)   {txt}
{txt}5.kbcom_1   {res}        1.099   {txt}
            {res}      (0.183)   {txt}
{txt}6.kbcom_1   {res}        1.420*  {txt}
            {res}      (0.215)   {txt}
{txt}7.kbcom_1   {res}        1.052   {txt}
            {res}      (0.120)   {txt}
{txt}8.kbcom_1   {res}        0.731   {txt}
            {res}      (0.208)   {txt}
{txt}9.kbcom_1   {res}        0.881   {txt}
            {res}      (0.127)   {txt}
{txt}10.kbcom_1  {res}        0.572*  {txt}
            {res}      (0.139)   {txt}
{txt}11.kbcom_1  {res}        0.934   {txt}
            {res}      (0.250)   {txt}
{txt}12.kbcom_1  {res}        0.917   {txt}
            {res}      (0.321)   {txt}
{txt}13.kbcom_1  {res}        0.821   {txt}
            {res}      (0.089)   {txt}
{txt}14.kbcom_1  {res}        1.377   {txt}
            {res}      (0.321)   {txt}
{txt}15.kbcom_1  {res}        1.146   {txt}
            {res}      (0.443)   {txt}
{txt}16.kbcom_1  {res}        1.054   {txt}
            {res}      (0.331)   {txt}
{txt}17.kbcom_1  {res}        0.620** {txt}
            {res}      (0.099)   {txt}
{txt}18.kbcom_1  {res}        0.767   {txt}
            {res}      (0.202)   {txt}
{txt}19.kbcom_1  {res}        0.627***{txt}
            {res}      (0.057)   {txt}
{txt}20.kbcom_1  {res}        1.009   {txt}
            {res}      (0.112)   {txt}
{txt}1.presrev   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.presrev   {res}        1.555   {txt}
            {res}      (0.395)   {txt}
{txt}3.presrev   {res}        1.662   {txt}
            {res}      (0.591)   {txt}
{txt}4.presrev   {res}        2.253** {txt}
            {res}      (0.594)   {txt}
{txt}5.presrev   {res}        2.022   {txt}
            {res}      (0.957)   {txt}
{txt}6.presrev   {res}        1.806   {txt}
            {res}      (0.976)   {txt}
{txt}_cons       {res}        0.631   {txt}
            {res}      (0.493)   {txt}
{txt}{hline 28}
{res}/                           {txt}
{txt}ln_p        {res}        1.040** {txt}
            {res}      (0.016)   {txt}
{txt}{hline 28}

{com}. *
. *
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & SENATE FILIBUSTER PIVOT DISTANCE IN RELATION TO THE PRESIDENT'S IDEAL POINT [MODEL B4: WEIBULL PARAMETRIC MODEL] *
. 
. streg c.chair_pres1##c.pressenfilipivotabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev,  distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-14114.273
{txt}Iteration 1:  Log pseudolikelihood = {res}-14091.777
{txt}Iteration 2:  Log pseudolikelihood = {res}-14091.776

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14091.776}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-13930.133}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-13114.608}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-13091.282}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-13091.206}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-13091.206}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-13091.206{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .1576084{col 29}{space 2} .0728966{col 40}{space 1}   -3.99{col 49}{space 3}0.000{col 57}{space 4} .0636625{col 70}{space 3} .3901887
{txt}pressenfilipi~t {c |}{col 17}{res}{space 2}   .25296{col 29}{space 2} .0910397{col 40}{space 1}   -3.82{col 49}{space 3}0.000{col 57}{space 4} .1249414{col 70}{space 3}   .51215
{txt}{space 15} {c |}
{space 2}c.chair_pres1#{c |}
{space 13}c. {c |}
pressenfilipi~t {c |}{col 17}{res}{space 2} 28.81644{col 29}{space 2}  26.9074{col 40}{space 1}    3.60{col 49}{space 3}0.000{col 57}{space 4} 4.621998{col 70}{space 3} 179.6598
{txt}{space 15} {c |}
chair_experie~1 {c |}{col 17}{res}{space 2} 1.008127{col 29}{space 2} .0025885{col 40}{space 1}    3.15{col 49}{space 3}0.002{col 57}{space 4} 1.003066{col 70}{space 3} 1.013213
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9928211{col 29}{space 2} .0043354{col 40}{space 1}   -1.65{col 49}{space 3}0.099{col 57}{space 4} .9843602{col 70}{space 3} 1.001355
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8723764{col 29}{space 2} .0872371{col 40}{space 1}   -1.37{col 49}{space 3}0.172{col 57}{space 4} .7171076{col 70}{space 3} 1.061264
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002398{col 29}{space 2} .0028287{col 40}{space 1}    0.85{col 49}{space 3}0.396{col 57}{space 4} .9968695{col 70}{space 3} 1.007958
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.509335{col 29}{space 2} .2061366{col 40}{space 1}   11.20{col 49}{space 3}0.000{col 57}{space 4} 2.136162{col 70}{space 3} 2.947699
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7711494{col 29}{space 2} .0484089{col 40}{space 1}   -4.14{col 49}{space 3}0.000{col 57}{space 4} .6818743{col 70}{space 3}  .872113
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8632057{col 29}{space 2}  .074056{col 40}{space 1}   -1.71{col 49}{space 3}0.086{col 57}{space 4} .7296055{col 70}{space 3}  1.02127
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999632{col 29}{space 2} .0000216{col 40}{space 1}   -1.71{col 49}{space 3}0.088{col 57}{space 4} .9999209{col 70}{space 3} 1.000005
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0066121{col 29}{space 2} .0085656{col 40}{space 1}   -3.87{col 49}{space 3}0.000{col 57}{space 4}  .000522{col 70}{space 3} .0837564
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001649{col 29}{space 2} .0015396{col 40}{space 1}    1.07{col 49}{space 3}0.284{col 57}{space 4} .9986357{col 70}{space 3} 1.004671
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.000177{col 29}{space 2} .0460691{col 40}{space 1}    0.00{col 49}{space 3}0.997{col 57}{space 4} .9138396{col 70}{space 3} 1.094672
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9388324{col 29}{space 2} .0526298{col 40}{space 1}   -1.13{col 49}{space 3}0.260{col 57}{space 4} .8411448{col 70}{space 3} 1.047865
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6183184{col 29}{space 2} .0666765{col 40}{space 1}   -4.46{col 49}{space 3}0.000{col 57}{space 4} .5005215{col 70}{space 3} .7638386
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9185154{col 29}{space 2} .0546415{col 40}{space 1}   -1.43{col 49}{space 3}0.153{col 57}{space 4} .8174277{col 70}{space 3} 1.032104
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7378645{col 29}{space 2} .1556458{col 40}{space 1}   -1.44{col 49}{space 3}0.150{col 57}{space 4}  .488004{col 70}{space 3} 1.115655
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7496055{col 29}{space 2} .0969441{col 40}{space 1}   -2.23{col 49}{space 3}0.026{col 57}{space 4} .5817677{col 70}{space 3} .9658638
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9078814{col 29}{space 2} .0859494{col 40}{space 1}   -1.02{col 49}{space 3}0.307{col 57}{space 4} .7541289{col 70}{space 3} 1.092981
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9191771{col 29}{space 2} .0877034{col 40}{space 1}   -0.88{col 49}{space 3}0.377{col 57}{space 4}  .762398{col 70}{space 3} 1.108196
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8936099{col 29}{space 2} .0802645{col 40}{space 1}   -1.25{col 49}{space 3}0.210{col 57}{space 4} .7493636{col 70}{space 3} 1.065622
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.206289{col 29}{space 2} .0911618{col 40}{space 1}    2.48{col 49}{space 3}0.013{col 57}{space 4} 1.040217{col 70}{space 3} 1.398873
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.024488{col 29}{space 2} .0574962{col 40}{space 1}    0.43{col 49}{space 3}0.666{col 57}{space 4} .9177746{col 70}{space 3}  1.14361
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8184123{col 29}{space 2} .0689096{col 40}{space 1}   -2.38{col 49}{space 3}0.017{col 57}{space 4} .6939077{col 70}{space 3} .9652562
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.325527{col 29}{space 2} .1083201{col 40}{space 1}    3.45{col 49}{space 3}0.001{col 57}{space 4} 1.129353{col 70}{space 3} 1.555778
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  .916922{col 29}{space 2} .0953874{col 40}{space 1}   -0.83{col 49}{space 3}0.404{col 57}{space 4} .7477939{col 70}{space 3} 1.124302
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9556258{col 29}{space 2} .0754412{col 40}{space 1}   -0.57{col 49}{space 3}0.565{col 57}{space 4} .8186351{col 70}{space 3} 1.115541
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.799129{col 29}{space 2} .4526429{col 40}{space 1}    6.37{col 49}{space 3}0.000{col 57}{space 4} 2.038809{col 70}{space 3} 3.842992
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.202006{col 29}{space 2} .1828226{col 40}{space 1}    1.21{col 49}{space 3}0.226{col 57}{space 4} .8921554{col 70}{space 3} 1.619469
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.484325{col 29}{space 2} .1954394{col 40}{space 1}    3.00{col 49}{space 3}0.003{col 57}{space 4} 1.146707{col 70}{space 3} 1.921347
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.147647{col 29}{space 2} .1075778{col 40}{space 1}    1.47{col 49}{space 3}0.142{col 57}{space 4} .9550339{col 70}{space 3} 1.379108
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .8734543{col 29}{space 2} .2319079{col 40}{space 1}   -0.51{col 49}{space 3}0.610{col 57}{space 4} .5190875{col 70}{space 3} 1.469738
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9166131{col 29}{space 2} .1166119{col 40}{space 1}   -0.68{col 49}{space 3}0.494{col 57}{space 4}  .714325{col 70}{space 3} 1.176187
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6679586{col 29}{space 2} .1530636{col 40}{space 1}   -1.76{col 49}{space 3}0.078{col 57}{space 4} .4262805{col 70}{space 3} 1.046655
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.194936{col 29}{space 2} .3239498{col 40}{space 1}    0.66{col 49}{space 3}0.511{col 57}{space 4} .7023955{col 70}{space 3} 2.032859
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.12153{col 29}{space 2}  .364261{col 40}{space 1}    0.35{col 49}{space 3}0.724{col 57}{space 4}  .593403{col 70}{space 3} 2.119689
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6611813{col 29}{space 2} .0813247{col 40}{space 1}   -3.36{col 49}{space 3}0.001{col 57}{space 4} .5195455{col 70}{space 3} .8414292
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.173864{col 29}{space 2}  .274856{col 40}{space 1}    0.68{col 49}{space 3}0.494{col 57}{space 4} .7418427{col 70}{space 3} 1.857477
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.528968{col 29}{space 2} .5757572{col 40}{space 1}    1.13{col 49}{space 3}0.260{col 57}{space 4} .7309119{col 70}{space 3} 3.198393
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.173522{col 29}{space 2} .3413319{col 40}{space 1}    0.55{col 49}{space 3}0.582{col 57}{space 4} .6636056{col 70}{space 3} 2.075261
{txt}{space 12}17  {c |}{col 17}{res}{space 2}  .598213{col 29}{space 2} .0979846{col 40}{space 1}   -3.14{col 49}{space 3}0.002{col 57}{space 4} .4339433{col 70}{space 3} .8246674
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5962453{col 29}{space 2} .1607887{col 40}{space 1}   -1.92{col 49}{space 3}0.055{col 57}{space 4} .3514654{col 70}{space 3} 1.011503
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5259056{col 29}{space 2} .0641209{col 40}{space 1}   -5.27{col 49}{space 3}0.000{col 57}{space 4} .4141192{col 70}{space 3} .6678674
{txt}{space 12}20  {c |}{col 17}{res}{space 2}  .902877{col 29}{space 2}  .106708{col 40}{space 1}   -0.86{col 49}{space 3}0.387{col 57}{space 4} .7161895{col 70}{space 3} 1.138228
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 2.068127{col 29}{space 2} .5019938{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4} 1.285187{col 70}{space 3} 3.328038
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 2.685179{col 29}{space 2} .9556457{col 40}{space 1}    2.78{col 49}{space 3}0.006{col 57}{space 4} 1.336699{col 70}{space 3} 5.394024
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.685256{col 29}{space 2} .6892247{col 40}{space 1}    3.85{col 49}{space 3}0.000{col 57}{space 4} 1.623708{col 70}{space 3} 4.440825
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 3.076158{col 29}{space 2} 1.279318{col 40}{space 1}    2.70{col 49}{space 3}0.007{col 57}{space 4} 1.361474{col 70}{space 3} 6.950368
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 3.082216{col 29}{space 2} 1.234389{col 40}{space 1}    2.81{col 49}{space 3}0.005{col 57}{space 4} 1.405942{col 70}{space 3} 6.757074
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .6735319{col 29}{space 2}  .573957{col 40}{space 1}   -0.46{col 49}{space 3}0.643{col 57}{space 4} .1267647{col 70}{space 3} 3.578641
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0480011{col 29}{space 2} .0160706{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4} .0165034{col 70}{space 3} .0794989
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.049172{col 29}{space 2} .0168608{col 57}{space 4}  1.01664{col 70}{space 3} 1.082744
{txt}            1/p {c |}{col 17}{res}{space 2} .9531327{col 29}{space 2} .0153174{col 57}{space 4}  .923579{col 70}{space 3} .9836321
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-14091.78{col 39}-13091.21{col 50}    19{col 58} 26220.41{col 69} 26357.18
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. estimates store modelB4
{txt}
{com}. estout modelB4, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                  modelB4   
{txt}                     b/se   
{txt}{hline 28}
{res}_t                          {txt}
{txt}chair_pres1 {res}        0.158***{txt}
            {res}      (0.073)   {txt}
{txt}pressenfil~t{res}        0.253***{txt}
            {res}      (0.091)   {txt}
{txt}c.chair_pr~b{res}       28.816***{txt}
            {res}     (26.907)   {txt}
{txt}chair_expe~1{res}        1.008** {txt}
            {res}      (0.003)   {txt}
{txt}committees~e{res}        0.993   {txt}
            {res}      (0.004)   {txt}
{txt}ln_combill~d{res}        0.872   {txt}
            {res}      (0.087)   {txt}
{txt}pres_app_m  {res}        1.002   {txt}
            {res}      (0.003)   {txt}
{txt}first90     {res}        2.509***{txt}
            {res}      (0.206)   {txt}
{txt}preselection{res}        0.771***{txt}
            {res}      (0.048)   {txt}
{txt}lameduck    {res}        0.863   {txt}
            {res}      (0.074)   {txt}
{txt}kv_workload {res}        1.000   {txt}
            {res}      (0.000)   {txt}
{txt}polarization{res}        0.007***{txt}
            {res}      (0.009)   {txt}
{txt}workload    {res}        1.002   {txt}
            {res}      (0.002)   {txt}
{txt}female      {res}        1.000   {txt}
            {res}      (0.046)   {txt}
{txt}priorconfirm{res}        0.939   {txt}
            {res}      (0.053)   {txt}
{txt}denied      {res}        0.618***{txt}
            {res}      (0.067)   {txt}
{txt}x_itier_2   {res}        0.919   {txt}
            {res}      (0.055)   {txt}
{txt}x_itier_3   {res}        0.738   {txt}
            {res}      (0.156)   {txt}
{txt}x_itier_4   {res}        0.750*  {txt}
            {res}      (0.097)   {txt}
{txt}defense     {res}        0.908   {txt}
            {res}      (0.086)   {txt}
{txt}infrastruc~e{res}        0.919   {txt}
            {res}      (0.088)   {txt}
{txt}social      {res}        0.894   {txt}
            {res}      (0.080)   {txt}
{txt}fvra        {res}        1.206*  {txt}
            {res}      (0.091)   {txt}
{txt}firstrecess {res}        1.024   {txt}
            {res}      (0.057)   {txt}
{txt}secondrecess{res}        0.818*  {txt}
            {res}      (0.069)   {txt}
{txt}policy_maj~y{res}        1.326***{txt}
            {res}      (0.108)   {txt}
{txt}1.kbcom_1   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.kbcom_1   {res}        0.917   {txt}
            {res}      (0.095)   {txt}
{txt}3.kbcom_1   {res}        0.956   {txt}
            {res}      (0.075)   {txt}
{txt}4.kbcom_1   {res}        2.799***{txt}
            {res}      (0.453)   {txt}
{txt}5.kbcom_1   {res}        1.202   {txt}
            {res}      (0.183)   {txt}
{txt}6.kbcom_1   {res}        1.484** {txt}
            {res}      (0.195)   {txt}
{txt}7.kbcom_1   {res}        1.148   {txt}
            {res}      (0.108)   {txt}
{txt}8.kbcom_1   {res}        0.873   {txt}
            {res}      (0.232)   {txt}
{txt}9.kbcom_1   {res}        0.917   {txt}
            {res}      (0.117)   {txt}
{txt}10.kbcom_1  {res}        0.668   {txt}
            {res}      (0.153)   {txt}
{txt}11.kbcom_1  {res}        1.195   {txt}
            {res}      (0.324)   {txt}
{txt}12.kbcom_1  {res}        1.122   {txt}
            {res}      (0.364)   {txt}
{txt}13.kbcom_1  {res}        0.661***{txt}
            {res}      (0.081)   {txt}
{txt}14.kbcom_1  {res}        1.174   {txt}
            {res}      (0.275)   {txt}
{txt}15.kbcom_1  {res}        1.529   {txt}
            {res}      (0.576)   {txt}
{txt}16.kbcom_1  {res}        1.174   {txt}
            {res}      (0.341)   {txt}
{txt}17.kbcom_1  {res}        0.598** {txt}
            {res}      (0.098)   {txt}
{txt}18.kbcom_1  {res}        0.596   {txt}
            {res}      (0.161)   {txt}
{txt}19.kbcom_1  {res}        0.526***{txt}
            {res}      (0.064)   {txt}
{txt}20.kbcom_1  {res}        0.903   {txt}
            {res}      (0.107)   {txt}
{txt}1.presrev   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.presrev   {res}        2.068** {txt}
            {res}      (0.502)   {txt}
{txt}3.presrev   {res}        2.685** {txt}
            {res}      (0.956)   {txt}
{txt}4.presrev   {res}        2.685***{txt}
            {res}      (0.689)   {txt}
{txt}5.presrev   {res}        3.076** {txt}
            {res}      (1.279)   {txt}
{txt}6.presrev   {res}        3.082** {txt}
            {res}      (1.234)   {txt}
{txt}_cons       {res}        0.674   {txt}
            {res}      (0.574)   {txt}
{txt}{hline 28}
{res}/                           {txt}
{txt}ln_p        {res}        1.049** {txt}
            {res}      (0.017)   {txt}
{txt}{hline 28}

{com}. *
. *
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. 
. *** II. EVALUATING THE IDEOLOGICAL [SENATE CHAMBER MEDIAN] VERSION OF THE PSCD SELECTIVE COMMITTEE DELAY HYPOTHESIS ***
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & SENATE CHAMBER MEDIAN DISTANCE IN RELATION TO THE PRESIDENT'S IDEAL POINT [MODEL B5: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##c.pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-59700.769
{txt}Iteration 1:  Log pseudolikelihood = {res}-59429.753
{txt}Iteration 2:  Log pseudolikelihood = {res}-58821.208
{txt}Iteration 3:  Log pseudolikelihood = {res}-58768.704
{txt}Iteration 4:  Log pseudolikelihood = {res}-58767.475
{txt}Iteration 5:  Log pseudolikelihood = {res}-58767.474
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-58767.474

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:81681.56}
{txt}Log pseudolikelihood = {res}-58767.474{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .0707366{col 29}{space 2} .0633768{col 40}{space 1}   -2.96{col 49}{space 3}0.003{col 57}{space 4} .0122182{col 70}{space 3} .4095269
{txt}pressenfloora~t {c |}{col 17}{res}{space 2} .0989138{col 29}{space 2} .0415327{col 40}{space 1}   -5.51{col 49}{space 3}0.000{col 57}{space 4} .0434357{col 70}{space 3} .2252507
{txt}{space 15} {c |}
{space 13}c. {c |}
committee_pres1#{c |}
{space 13}c. {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 55.56684{col 29}{space 2} 65.84991{col 40}{space 1}    3.39{col 49}{space 3}0.001{col 57}{space 4} 5.446191{col 70}{space 3} 566.9419
{txt}{space 15} {c |}
experience_me~n {c |}{col 17}{res}{space 2} .9984208{col 29}{space 2} .0120077{col 40}{space 1}   -0.13{col 49}{space 3}0.895{col 57}{space 4} .9751613{col 70}{space 3} 1.022235
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9932027{col 29}{space 2}  .003947{col 40}{space 1}   -1.72{col 49}{space 3}0.086{col 57}{space 4} .9854968{col 70}{space 3} 1.000969
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2}  .906174{col 29}{space 2}  .057025{col 40}{space 1}   -1.57{col 49}{space 3}0.117{col 57}{space 4} .8010249{col 70}{space 3} 1.025126
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2}   1.0027{col 29}{space 2} .0021238{col 40}{space 1}    1.27{col 49}{space 3}0.203{col 57}{space 4} .9985458{col 70}{space 3} 1.006871
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.757986{col 29}{space 2} .2314856{col 40}{space 1}   12.09{col 49}{space 3}0.000{col 57}{space 4} 2.339636{col 70}{space 3} 3.251141
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6806047{col 29}{space 2} .0442779{col 40}{space 1}   -5.91{col 49}{space 3}0.000{col 57}{space 4} .5991265{col 70}{space 3} .7731635
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9020388{col 29}{space 2} .0719687{col 40}{space 1}   -1.29{col 49}{space 3}0.196{col 57}{space 4} .7714584{col 70}{space 3} 1.054722
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} 1.000015{col 29}{space 2} .0000278{col 40}{space 1}    0.55{col 49}{space 3}0.580{col 57}{space 4} .9999609{col 70}{space 3}  1.00007
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0095835{col 29}{space 2} .0098839{col 40}{space 1}   -4.51{col 49}{space 3}0.000{col 57}{space 4} .0012695{col 70}{space 3} .0723453
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001779{col 29}{space 2} .0013225{col 40}{space 1}    1.35{col 49}{space 3}0.178{col 57}{space 4} .9991901{col 70}{space 3} 1.004374
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.002413{col 29}{space 2} .0427023{col 40}{space 1}    0.06{col 49}{space 3}0.955{col 57}{space 4} .9221168{col 70}{space 3} 1.089701
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9725136{col 29}{space 2} .0469644{col 40}{space 1}   -0.58{col 49}{space 3}0.564{col 57}{space 4} .8846871{col 70}{space 3} 1.069059
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6641082{col 29}{space 2}  .068207{col 40}{space 1}   -3.99{col 49}{space 3}0.000{col 57}{space 4} .5430207{col 70}{space 3} .8121967
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9454487{col 29}{space 2}  .041162{col 40}{space 1}   -1.29{col 49}{space 3}0.198{col 57}{space 4} .8681188{col 70}{space 3} 1.029667
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8203139{col 29}{space 2} .1410327{col 40}{space 1}   -1.15{col 49}{space 3}0.249{col 57}{space 4} .5856485{col 70}{space 3} 1.149008
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8100641{col 29}{space 2} .0952018{col 40}{space 1}   -1.79{col 49}{space 3}0.073{col 57}{space 4} .6434029{col 70}{space 3} 1.019896
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9879521{col 29}{space 2} .0867962{col 40}{space 1}   -0.14{col 49}{space 3}0.890{col 57}{space 4} .8316755{col 70}{space 3} 1.173594
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2}  .949712{col 29}{space 2} .0611391{col 40}{space 1}   -0.80{col 49}{space 3}0.423{col 57}{space 4} .8371332{col 70}{space 3} 1.077431
{txt}{space 9}social {c |}{col 17}{res}{space 2}  .914439{col 29}{space 2} .0592266{col 40}{space 1}   -1.38{col 49}{space 3}0.167{col 57}{space 4} .8054229{col 70}{space 3} 1.038211
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.200075{col 29}{space 2} .0700924{col 40}{space 1}    3.12{col 49}{space 3}0.002{col 57}{space 4} 1.070268{col 70}{space 3} 1.345626
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9670195{col 29}{space 2} .0402389{col 40}{space 1}   -0.81{col 49}{space 3}0.420{col 57}{space 4} .8912831{col 70}{space 3} 1.049192
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7627444{col 29}{space 2} .0600345{col 40}{space 1}   -3.44{col 49}{space 3}0.001{col 57}{space 4} .6537057{col 70}{space 3}  .889971
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.256974{col 29}{space 2} .0791948{col 40}{space 1}    3.63{col 49}{space 3}0.000{col 57}{space 4} 1.110957{col 70}{space 3} 1.422184
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.006741{col 29}{space 2} .1225695{col 40}{space 1}    0.06{col 49}{space 3}0.956{col 57}{space 4} .7930213{col 70}{space 3} 1.278057
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9371671{col 29}{space 2} .0720248{col 40}{space 1}   -0.84{col 49}{space 3}0.398{col 57}{space 4} .8061187{col 70}{space 3}  1.08952
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  3.15629{col 29}{space 2} .3237657{col 40}{space 1}   11.21{col 49}{space 3}0.000{col 57}{space 4} 2.581442{col 70}{space 3} 3.859148
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.175425{col 29}{space 2} .1520133{col 40}{space 1}    1.25{col 49}{space 3}0.211{col 57}{space 4} .9122465{col 70}{space 3} 1.514529
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.494896{col 29}{space 2} .1555335{col 40}{space 1}    3.86{col 49}{space 3}0.000{col 57}{space 4} 1.219128{col 70}{space 3} 1.833042
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.025064{col 29}{space 2} .0768113{col 40}{space 1}    0.33{col 49}{space 3}0.741{col 57}{space 4} .8850496{col 70}{space 3} 1.187228
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .8959208{col 29}{space 2} .1700333{col 40}{space 1}   -0.58{col 49}{space 3}0.563{col 57}{space 4} .6176229{col 70}{space 3} 1.299618
{txt}{space 13}9  {c |}{col 17}{res}{space 2}   .89536{col 29}{space 2} .0872521{col 40}{space 1}   -1.13{col 49}{space 3}0.257{col 57}{space 4} .7396883{col 70}{space 3} 1.083794
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6934142{col 29}{space 2} .1433492{col 40}{space 1}   -1.77{col 49}{space 3}0.077{col 57}{space 4} .4624068{col 70}{space 3} 1.039827
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.114321{col 29}{space 2} .2430664{col 40}{space 1}    0.50{col 49}{space 3}0.620{col 57}{space 4} .7266715{col 70}{space 3} 1.708766
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.054304{col 29}{space 2} .3030225{col 40}{space 1}    0.18{col 49}{space 3}0.854{col 57}{space 4} .6002308{col 70}{space 3} 1.851884
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6681216{col 29}{space 2} .0564646{col 40}{space 1}   -4.77{col 49}{space 3}0.000{col 57}{space 4}  .566133{col 70}{space 3} .7884836
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.219773{col 29}{space 2} .2288671{col 40}{space 1}    1.06{col 49}{space 3}0.290{col 57}{space 4} .8444375{col 70}{space 3} 1.761939
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.440568{col 29}{space 2} .4428816{col 40}{space 1}    1.19{col 49}{space 3}0.235{col 57}{space 4} .7885773{col 70}{space 3}  2.63162
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.064744{col 29}{space 2} .2708175{col 40}{space 1}    0.25{col 49}{space 3}0.805{col 57}{space 4} .6467587{col 70}{space 3} 1.752864
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6152451{col 29}{space 2} .0744224{col 40}{space 1}   -4.02{col 49}{space 3}0.000{col 57}{space 4}  .485382{col 70}{space 3} .7798529
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .7866719{col 29}{space 2} .1529134{col 40}{space 1}   -1.23{col 49}{space 3}0.217{col 57}{space 4} .5374487{col 70}{space 3} 1.151464
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4993544{col 29}{space 2} .0369109{col 40}{space 1}   -9.39{col 49}{space 3}0.000{col 57}{space 4} .4320066{col 70}{space 3} .5772014
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8623715{col 29}{space 2} .0739114{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4} .7290214{col 70}{space 3} 1.020113
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.860425{col 29}{space 2} .4248097{col 40}{space 1}    2.72{col 49}{space 3}0.007{col 57}{space 4} 1.189183{col 70}{space 3} 2.910553
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 2.025415{col 29}{space 2}  .617321{col 40}{space 1}    2.32{col 49}{space 3}0.021{col 57}{space 4} 1.114496{col 70}{space 3} 3.680862
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.411816{col 29}{space 2} .5470055{col 40}{space 1}    3.88{col 49}{space 3}0.000{col 57}{space 4} 1.546285{col 70}{space 3} 3.761826
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.391591{col 29}{space 2} .4926093{col 40}{space 1}    0.93{col 49}{space 3}0.351{col 57}{space 4} .6953358{col 70}{space 3}  2.78502
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.309722{col 29}{space 2} .5203651{col 40}{space 1}    0.68{col 49}{space 3}0.497{col 57}{space 4} .6011583{col 70}{space 3} 2.853446
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-59700.77{col 39}-58767.47{col 50}    19{col 58} 117572.9{col 69} 117709.7
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. 
. estimates store modelB5
{txt}
{com}. estout modelB5, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                  modelB5   
{txt}                     b/se   
{txt}{hline 28}
{txt}committee_~1{res}        0.071** {txt}
            {res}      (0.063)   {txt}
{txt}pressenflo~t{res}        0.099***{txt}
            {res}      (0.042)   {txt}
{txt}c.committe~b{res}       55.567***{txt}
            {res}     (65.850)   {txt}
{txt}experience~n{res}        0.998   {txt}
            {res}      (0.012)   {txt}
{txt}committees~e{res}        0.993   {txt}
            {res}      (0.004)   {txt}
{txt}ln_combill~d{res}        0.906   {txt}
            {res}      (0.057)   {txt}
{txt}pres_app_m  {res}        1.003   {txt}
            {res}      (0.002)   {txt}
{txt}first90     {res}        2.758***{txt}
            {res}      (0.231)   {txt}
{txt}preselection{res}        0.681***{txt}
            {res}      (0.044)   {txt}
{txt}lameduck    {res}        0.902   {txt}
            {res}      (0.072)   {txt}
{txt}kv_workload {res}        1.000   {txt}
            {res}      (0.000)   {txt}
{txt}polarization{res}        0.010***{txt}
            {res}      (0.010)   {txt}
{txt}workload    {res}        1.002   {txt}
            {res}      (0.001)   {txt}
{txt}female      {res}        1.002   {txt}
            {res}      (0.043)   {txt}
{txt}priorconfirm{res}        0.973   {txt}
            {res}      (0.047)   {txt}
{txt}denied      {res}        0.664***{txt}
            {res}      (0.068)   {txt}
{txt}x_itier_2   {res}        0.945   {txt}
            {res}      (0.041)   {txt}
{txt}x_itier_3   {res}        0.820   {txt}
            {res}      (0.141)   {txt}
{txt}x_itier_4   {res}        0.810   {txt}
            {res}      (0.095)   {txt}
{txt}defense     {res}        0.988   {txt}
            {res}      (0.087)   {txt}
{txt}infrastruc~e{res}        0.950   {txt}
            {res}      (0.061)   {txt}
{txt}social      {res}        0.914   {txt}
            {res}      (0.059)   {txt}
{txt}fvra        {res}        1.200** {txt}
            {res}      (0.070)   {txt}
{txt}firstrecess {res}        0.967   {txt}
            {res}      (0.040)   {txt}
{txt}secondrecess{res}        0.763***{txt}
            {res}      (0.060)   {txt}
{txt}policy_maj~y{res}        1.257***{txt}
            {res}      (0.079)   {txt}
{txt}1.kbcom_1   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.kbcom_1   {res}        1.007   {txt}
            {res}      (0.123)   {txt}
{txt}3.kbcom_1   {res}        0.937   {txt}
            {res}      (0.072)   {txt}
{txt}4.kbcom_1   {res}        3.156***{txt}
            {res}      (0.324)   {txt}
{txt}5.kbcom_1   {res}        1.175   {txt}
            {res}      (0.152)   {txt}
{txt}6.kbcom_1   {res}        1.495***{txt}
            {res}      (0.156)   {txt}
{txt}7.kbcom_1   {res}        1.025   {txt}
            {res}      (0.077)   {txt}
{txt}8.kbcom_1   {res}        0.896   {txt}
            {res}      (0.170)   {txt}
{txt}9.kbcom_1   {res}        0.895   {txt}
            {res}      (0.087)   {txt}
{txt}10.kbcom_1  {res}        0.693   {txt}
            {res}      (0.143)   {txt}
{txt}11.kbcom_1  {res}        1.114   {txt}
            {res}      (0.243)   {txt}
{txt}12.kbcom_1  {res}        1.054   {txt}
            {res}      (0.303)   {txt}
{txt}13.kbcom_1  {res}        0.668***{txt}
            {res}      (0.056)   {txt}
{txt}14.kbcom_1  {res}        1.220   {txt}
            {res}      (0.229)   {txt}
{txt}15.kbcom_1  {res}        1.441   {txt}
            {res}      (0.443)   {txt}
{txt}16.kbcom_1  {res}        1.065   {txt}
            {res}      (0.271)   {txt}
{txt}17.kbcom_1  {res}        0.615***{txt}
            {res}      (0.074)   {txt}
{txt}18.kbcom_1  {res}        0.787   {txt}
            {res}      (0.153)   {txt}
{txt}19.kbcom_1  {res}        0.499***{txt}
            {res}      (0.037)   {txt}
{txt}20.kbcom_1  {res}        0.862   {txt}
            {res}      (0.074)   {txt}
{txt}1.presrev   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.presrev   {res}        1.860** {txt}
            {res}      (0.425)   {txt}
{txt}3.presrev   {res}        2.025*  {txt}
            {res}      (0.617)   {txt}
{txt}4.presrev   {res}        2.412***{txt}
            {res}      (0.547)   {txt}
{txt}5.presrev   {res}        1.392   {txt}
            {res}      (0.493)   {txt}
{txt}6.presrev   {res}        1.310   {txt}
            {res}      (0.520)   {txt}
{txt}{hline 28}

{com}. *
. *
. 
. 
. 
. ****************************************************************************************************************************************************************************************
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. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & SENATE CHAMBER MEDIAN DISTANCE IN RELATION TO THE PRESIDENT'S IDEAL POINT [MODEL B6: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##c.pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1 i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-59700.769
{txt}Iteration 1:  Log pseudolikelihood = {res}-59404.284
{txt}Iteration 2:  Log pseudolikelihood = {res}-58793.319
{txt}Iteration 3:  Log pseudolikelihood = {res}-58741.331
{txt}Iteration 4:  Log pseudolikelihood = {res}-58740.131
{txt}Iteration 5:  Log pseudolikelihood = {res} -58740.13
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res} -58740.13

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:55131.11}
{txt}Log pseudolikelihood = {res}-58740.13{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .0801298{col 29}{space 2} .0597324{col 40}{space 1}   -3.39{col 49}{space 3}0.001{col 57}{space 4} .0185896{col 70}{space 3} .3453967
{txt}pressenfloora~t {c |}{col 17}{res}{space 2} .1538243{col 29}{space 2} .0634484{col 40}{space 1}   -4.54{col 49}{space 3}0.000{col 57}{space 4} .0685373{col 70}{space 3} .3452414
{txt}{space 15} {c |}
{space 2}c.chair_pres1#{c |}
{space 13}c. {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 51.86352{col 29}{space 2} 52.66556{col 40}{space 1}    3.89{col 49}{space 3}0.000{col 57}{space 4} 7.087565{col 70}{space 3} 379.5132
{txt}{space 15} {c |}
chair_experie~1 {c |}{col 17}{res}{space 2}  1.00071{col 29}{space 2} .0036873{col 40}{space 1}    0.19{col 49}{space 3}0.847{col 57}{space 4} .9935095{col 70}{space 3} 1.007963
{txt}committeestaf~e {c |}{col 17}{res}{space 2}  .992827{col 29}{space 2} .0039134{col 40}{space 1}   -1.83{col 49}{space 3}0.068{col 57}{space 4} .9851865{col 70}{space 3} 1.000527
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8980061{col 29}{space 2} .0567538{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4} .7933841{col 70}{space 3} 1.016424
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003613{col 29}{space 2} .0020754{col 40}{space 1}    1.74{col 49}{space 3}0.081{col 57}{space 4} .9995537{col 70}{space 3} 1.007689
{txt}{space 8}first90 {c |}{col 17}{res}{space 2}  2.77166{col 29}{space 2}  .225403{col 40}{space 1}   12.54{col 49}{space 3}0.000{col 57}{space 4} 2.363288{col 70}{space 3} 3.250598
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6891536{col 29}{space 2} .0466399{col 40}{space 1}   -5.50{col 49}{space 3}0.000{col 57}{space 4} .6035444{col 70}{space 3}  .786906
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8897874{col 29}{space 2} .0586162{col 40}{space 1}   -1.77{col 49}{space 3}0.076{col 57}{space 4} .7820094{col 70}{space 3}  1.01242
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999943{col 29}{space 2} .0000339{col 40}{space 1}   -0.17{col 49}{space 3}0.867{col 57}{space 4} .9999279{col 70}{space 3} 1.000061
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0225072{col 29}{space 2}  .022614{col 40}{space 1}   -3.78{col 49}{space 3}0.000{col 57}{space 4} .0031411{col 70}{space 3} .1612727
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002235{col 29}{space 2} .0013352{col 40}{space 1}    1.68{col 49}{space 3}0.094{col 57}{space 4} .9996212{col 70}{space 3} 1.004855
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.003853{col 29}{space 2} .0412617{col 40}{space 1}    0.09{col 49}{space 3}0.925{col 57}{space 4}  .926153{col 70}{space 3} 1.088071
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9851305{col 29}{space 2} .0486353{col 40}{space 1}   -0.30{col 49}{space 3}0.762{col 57}{space 4} .8942736{col 70}{space 3} 1.085218
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6645178{col 29}{space 2} .0687782{col 40}{space 1}   -3.95{col 49}{space 3}0.000{col 57}{space 4} .5425085{col 70}{space 3} .8139668
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9352698{col 29}{space 2} .0400459{col 40}{space 1}   -1.56{col 49}{space 3}0.118{col 57}{space 4} .8599844{col 70}{space 3} 1.017146
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8106764{col 29}{space 2} .1345629{col 40}{space 1}   -1.26{col 49}{space 3}0.206{col 57}{space 4} .5855419{col 70}{space 3} 1.122373
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8158437{col 29}{space 2} .0955656{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4} .6484845{col 70}{space 3} 1.026395
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9927404{col 29}{space 2} .0845164{col 40}{space 1}   -0.09{col 49}{space 3}0.932{col 57}{space 4} .8401738{col 70}{space 3} 1.173011
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9385325{col 29}{space 2} .0619669{col 40}{space 1}   -0.96{col 49}{space 3}0.337{col 57}{space 4} .8246098{col 70}{space 3} 1.068194
{txt}{space 9}social {c |}{col 17}{res}{space 2}  .924532{col 29}{space 2} .0590286{col 40}{space 1}   -1.23{col 49}{space 3}0.219{col 57}{space 4} .8157843{col 70}{space 3} 1.047776
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.226141{col 29}{space 2} .0692975{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} 1.097573{col 70}{space 3} 1.369769
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9637459{col 29}{space 2}  .038745{col 40}{space 1}   -0.92{col 49}{space 3}0.358{col 57}{space 4} .8907219{col 70}{space 3} 1.042757
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2}  .750756{col 29}{space 2} .0595573{col 40}{space 1}   -3.61{col 49}{space 3}0.000{col 57}{space 4}  .642648{col 70}{space 3} .8770502
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.261916{col 29}{space 2} .0798229{col 40}{space 1}    3.68{col 49}{space 3}0.000{col 57}{space 4} 1.114776{col 70}{space 3} 1.428478
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.018488{col 29}{space 2} .0912618{col 40}{space 1}    0.20{col 49}{space 3}0.838{col 57}{space 4} .8544441{col 70}{space 3} 1.214025
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9436797{col 29}{space 2} .0523752{col 40}{space 1}   -1.04{col 49}{space 3}0.296{col 57}{space 4} .8464125{col 70}{space 3} 1.052125
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.388882{col 29}{space 2}   .37434{col 40}{space 1}   11.05{col 49}{space 3}0.000{col 57}{space 4} 2.729177{col 70}{space 3} 4.208053
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.223749{col 29}{space 2} .1342295{col 40}{space 1}    1.84{col 49}{space 3}0.066{col 57}{space 4} .9870213{col 70}{space 3} 1.517254
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.577317{col 29}{space 2}   .13706{col 40}{space 1}    5.24{col 49}{space 3}0.000{col 57}{space 4} 1.330315{col 70}{space 3} 1.870181
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.104391{col 29}{space 2} .0749787{col 40}{space 1}    1.46{col 49}{space 3}0.144{col 57}{space 4} .9667933{col 70}{space 3} 1.261573
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .9856883{col 29}{space 2} .1600094{col 40}{space 1}   -0.09{col 49}{space 3}0.929{col 57}{space 4} .7170705{col 70}{space 3} 1.354932
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9561577{col 29}{space 2}  .076551{col 40}{space 1}   -0.56{col 49}{space 3}0.575{col 57}{space 4} .8172999{col 70}{space 3} 1.118607
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7786334{col 29}{space 2} .1611515{col 40}{space 1}   -1.21{col 49}{space 3}0.227{col 57}{space 4}  .518994{col 70}{space 3} 1.168164
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.154124{col 29}{space 2} .2228393{col 40}{space 1}    0.74{col 49}{space 3}0.458{col 57}{space 4} .7904995{col 70}{space 3} 1.685013
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.278927{col 29}{space 2} .3656896{col 40}{space 1}    0.86{col 49}{space 3}0.390{col 57}{space 4} .7302271{col 70}{space 3} 2.239927
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7288514{col 29}{space 2} .0598858{col 40}{space 1}   -3.85{col 49}{space 3}0.000{col 57}{space 4} .6204409{col 70}{space 3} .8562048
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.147199{col 29}{space 2}  .196844{col 40}{space 1}    0.80{col 49}{space 3}0.424{col 57}{space 4} .8195656{col 70}{space 3} 1.605807
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.536303{col 29}{space 2} .4435762{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4} .8723878{col 70}{space 3} 2.705478
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.167508{col 29}{space 2} .2680732{col 40}{space 1}    0.67{col 49}{space 3}0.500{col 57}{space 4} .7444131{col 70}{space 3} 1.831072
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5950471{col 29}{space 2} .0741797{col 40}{space 1}   -4.16{col 49}{space 3}0.000{col 57}{space 4} .4660569{col 70}{space 3} .7597377
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .7850357{col 29}{space 2} .1410563{col 40}{space 1}   -1.35{col 49}{space 3}0.178{col 57}{space 4} .5520067{col 70}{space 3} 1.116438
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5672993{col 29}{space 2} .0423693{col 40}{space 1}   -7.59{col 49}{space 3}0.000{col 57}{space 4}  .490049{col 70}{space 3} .6567272
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8734268{col 29}{space 2}  .068655{col 40}{space 1}   -1.72{col 49}{space 3}0.085{col 57}{space 4} .7487184{col 70}{space 3} 1.018907
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.895234{col 29}{space 2} .3895567{col 40}{space 1}    3.11{col 49}{space 3}0.002{col 57}{space 4} 1.266783{col 70}{space 3} 2.835459
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 2.211664{col 29}{space 2} .6420829{col 40}{space 1}    2.73{col 49}{space 3}0.006{col 57}{space 4} 1.251991{col 70}{space 3} 3.906944
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  2.26662{col 29}{space 2} .5201264{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} 1.445612{col 70}{space 3} 3.553905
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.380959{col 29}{space 2} .4727409{col 40}{space 1}    0.94{col 49}{space 3}0.346{col 57}{space 4}  .705977{col 70}{space 3} 2.701288
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.509507{col 29}{space 2} .5215842{col 40}{space 1}    1.19{col 49}{space 3}0.233{col 57}{space 4} .7668622{col 70}{space 3} 2.971346
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-59700.77{col 39}-58740.13{col 50}    19{col 58} 117518.3{col 69}   117655
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. estimates store modelB6
{txt}
{com}. estout modelB6, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                  modelB6   
{txt}                     b/se   
{txt}{hline 28}
{txt}chair_pres1 {res}        0.080***{txt}
            {res}      (0.060)   {txt}
{txt}pressenflo~t{res}        0.154***{txt}
            {res}      (0.063)   {txt}
{txt}c.chair_pr~s{res}       51.864***{txt}
            {res}     (52.666)   {txt}
{txt}chair_expe~1{res}        1.001   {txt}
            {res}      (0.004)   {txt}
{txt}committees~e{res}        0.993   {txt}
            {res}      (0.004)   {txt}
{txt}ln_combill~d{res}        0.898   {txt}
            {res}      (0.057)   {txt}
{txt}pres_app_m  {res}        1.004   {txt}
            {res}      (0.002)   {txt}
{txt}first90     {res}        2.772***{txt}
            {res}      (0.225)   {txt}
{txt}preselection{res}        0.689***{txt}
            {res}      (0.047)   {txt}
{txt}lameduck    {res}        0.890   {txt}
            {res}      (0.059)   {txt}
{txt}kv_workload {res}        1.000   {txt}
            {res}      (0.000)   {txt}
{txt}polarization{res}        0.023***{txt}
            {res}      (0.023)   {txt}
{txt}workload    {res}        1.002   {txt}
            {res}      (0.001)   {txt}
{txt}female      {res}        1.004   {txt}
            {res}      (0.041)   {txt}
{txt}priorconfirm{res}        0.985   {txt}
            {res}      (0.049)   {txt}
{txt}denied      {res}        0.665***{txt}
            {res}      (0.069)   {txt}
{txt}x_itier_2   {res}        0.935   {txt}
            {res}      (0.040)   {txt}
{txt}x_itier_3   {res}        0.811   {txt}
            {res}      (0.135)   {txt}
{txt}x_itier_4   {res}        0.816   {txt}
            {res}      (0.096)   {txt}
{txt}defense     {res}        0.993   {txt}
            {res}      (0.085)   {txt}
{txt}infrastruc~e{res}        0.939   {txt}
            {res}      (0.062)   {txt}
{txt}social      {res}        0.925   {txt}
            {res}      (0.059)   {txt}
{txt}fvra        {res}        1.226***{txt}
            {res}      (0.069)   {txt}
{txt}firstrecess {res}        0.964   {txt}
            {res}      (0.039)   {txt}
{txt}secondrecess{res}        0.751***{txt}
            {res}      (0.060)   {txt}
{txt}policy_maj~y{res}        1.262***{txt}
            {res}      (0.080)   {txt}
{txt}1.kbcom_1   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.kbcom_1   {res}        1.018   {txt}
            {res}      (0.091)   {txt}
{txt}3.kbcom_1   {res}        0.944   {txt}
            {res}      (0.052)   {txt}
{txt}4.kbcom_1   {res}        3.389***{txt}
            {res}      (0.374)   {txt}
{txt}5.kbcom_1   {res}        1.224   {txt}
            {res}      (0.134)   {txt}
{txt}6.kbcom_1   {res}        1.577***{txt}
            {res}      (0.137)   {txt}
{txt}7.kbcom_1   {res}        1.104   {txt}
            {res}      (0.075)   {txt}
{txt}8.kbcom_1   {res}        0.986   {txt}
            {res}      (0.160)   {txt}
{txt}9.kbcom_1   {res}        0.956   {txt}
            {res}      (0.077)   {txt}
{txt}10.kbcom_1  {res}        0.779   {txt}
            {res}      (0.161)   {txt}
{txt}11.kbcom_1  {res}        1.154   {txt}
            {res}      (0.223)   {txt}
{txt}12.kbcom_1  {res}        1.279   {txt}
            {res}      (0.366)   {txt}
{txt}13.kbcom_1  {res}        0.729***{txt}
            {res}      (0.060)   {txt}
{txt}14.kbcom_1  {res}        1.147   {txt}
            {res}      (0.197)   {txt}
{txt}15.kbcom_1  {res}        1.536   {txt}
            {res}      (0.444)   {txt}
{txt}16.kbcom_1  {res}        1.168   {txt}
            {res}      (0.268)   {txt}
{txt}17.kbcom_1  {res}        0.595***{txt}
            {res}      (0.074)   {txt}
{txt}18.kbcom_1  {res}        0.785   {txt}
            {res}      (0.141)   {txt}
{txt}19.kbcom_1  {res}        0.567***{txt}
            {res}      (0.042)   {txt}
{txt}20.kbcom_1  {res}        0.873   {txt}
            {res}      (0.069)   {txt}
{txt}1.presrev   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.presrev   {res}        1.895** {txt}
            {res}      (0.390)   {txt}
{txt}3.presrev   {res}        2.212** {txt}
            {res}      (0.642)   {txt}
{txt}4.presrev   {res}        2.267***{txt}
            {res}      (0.520)   {txt}
{txt}5.presrev   {res}        1.381   {txt}
            {res}      (0.473)   {txt}
{txt}6.presrev   {res}        1.510   {txt}
            {res}      (0.522)   {txt}
{txt}{hline 28}

{com}. *
. *
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
.  
.  
.  
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & SENATE CHAMBER MEDIAN DISTANCE IN RELATION TO THE PRESIDENT'S IDEAL POINT [MODEL B7: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##c.pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-14114.273
{txt}Iteration 1:  Log pseudolikelihood = {res}-14091.777
{txt}Iteration 2:  Log pseudolikelihood = {res}-14091.776

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14091.776}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-13907.005}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-13078.322}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-13053.348}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-13053.265}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-13053.265}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-13053.265{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .0390253{col 29}{space 2} .0368506{col 40}{space 1}   -3.43{col 49}{space 3}0.001{col 57}{space 4} .0061317{col 70}{space 3} .2483788
{txt}pressenfloora~t {c |}{col 17}{res}{space 2} .0495277{col 29}{space 2} .0198389{col 40}{space 1}   -7.50{col 49}{space 3}0.000{col 57}{space 4} .0225887{col 70}{space 3} .1085941
{txt}{space 15} {c |}
{space 13}c. {c |}
committee_pres1#{c |}
{space 13}c. {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 169.2897{col 29}{space 2} 192.6123{col 40}{space 1}    4.51{col 49}{space 3}0.000{col 57}{space 4} 18.20377{col 70}{space 3} 1574.345
{txt}{space 15} {c |}
experience_me~n {c |}{col 17}{res}{space 2} 1.004955{col 29}{space 2} .0144986{col 40}{space 1}    0.34{col 49}{space 3}0.732{col 57}{space 4} .9769361{col 70}{space 3} 1.033777
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9932633{col 29}{space 2} .0041522{col 40}{space 1}   -1.62{col 49}{space 3}0.106{col 57}{space 4} .9851584{col 70}{space 3} 1.001435
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8677499{col 29}{space 2}  .058101{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4} .7610296{col 70}{space 3} .9894357
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003709{col 29}{space 2} .0024774{col 40}{space 1}    1.50{col 49}{space 3}0.134{col 57}{space 4} .9988654{col 70}{space 3} 1.008577
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.483004{col 29}{space 2} .1984253{col 40}{space 1}   11.38{col 49}{space 3}0.000{col 57}{space 4} 2.123024{col 70}{space 3} 2.904022
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7840669{col 29}{space 2} .0534713{col 40}{space 1}   -3.57{col 49}{space 3}0.000{col 57}{space 4} .6859673{col 70}{space 3} .8961957
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9220441{col 29}{space 2} .0797035{col 40}{space 1}   -0.94{col 49}{space 3}0.348{col 57}{space 4} .7783447{col 70}{space 3} 1.092274
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999791{col 29}{space 2} .0000289{col 40}{space 1}   -0.72{col 49}{space 3}0.469{col 57}{space 4} .9999224{col 70}{space 3} 1.000036
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0049798{col 29}{space 2} .0065151{col 40}{space 1}   -4.05{col 49}{space 3}0.000{col 57}{space 4} .0003833{col 70}{space 3} .0646911
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002091{col 29}{space 2} .0014749{col 40}{space 1}    1.42{col 49}{space 3}0.156{col 57}{space 4} .9992044{col 70}{space 3} 1.004986
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.006627{col 29}{space 2} .0461911{col 40}{space 1}    0.14{col 49}{space 3}0.886{col 57}{space 4} .9200458{col 70}{space 3} 1.101356
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9563281{col 29}{space 2}  .052841{col 40}{space 1}   -0.81{col 49}{space 3}0.419{col 57}{space 4} .8581726{col 70}{space 3} 1.065711
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6111896{col 29}{space 2}  .061647{col 40}{space 1}   -4.88{col 49}{space 3}0.000{col 57}{space 4} .5015571{col 70}{space 3} .7447861
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9258361{col 29}{space 2} .0503613{col 40}{space 1}   -1.42{col 49}{space 3}0.157{col 57}{space 4} .8322094{col 70}{space 3} 1.029996
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7429568{col 29}{space 2} .1533905{col 40}{space 1}   -1.44{col 49}{space 3}0.150{col 57}{space 4} .4957069{col 70}{space 3} 1.113531
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2}  .761974{col 29}{space 2} .0986232{col 40}{space 1}   -2.10{col 49}{space 3}0.036{col 57}{space 4} .5912459{col 70}{space 3} .9820015
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9596408{col 29}{space 2} .0975042{col 40}{space 1}   -0.41{col 49}{space 3}0.685{col 57}{space 4} .7863619{col 70}{space 3} 1.171103
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9322309{col 29}{space 2} .0753046{col 40}{space 1}   -0.87{col 49}{space 3}0.385{col 57}{space 4} .7957275{col 70}{space 3} 1.092151
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8991159{col 29}{space 2} .0756388{col 40}{space 1}   -1.26{col 49}{space 3}0.206{col 57}{space 4} .7624435{col 70}{space 3} 1.060288
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.206539{col 29}{space 2} .0776198{col 40}{space 1}    2.92{col 49}{space 3}0.004{col 57}{space 4} 1.063607{col 70}{space 3} 1.368678
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.027965{col 29}{space 2}  .053493{col 40}{space 1}    0.53{col 49}{space 3}0.596{col 57}{space 4} .9282901{col 70}{space 3} 1.138343
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8097058{col 29}{space 2} .0714709{col 40}{space 1}   -2.39{col 49}{space 3}0.017{col 57}{space 4}  .681073{col 70}{space 3} .9626332
{txt}policy_majage~y {c |}{col 17}{res}{space 2}  1.30713{col 29}{space 2} .1026952{col 40}{space 1}    3.41{col 49}{space 3}0.001{col 57}{space 4} 1.120582{col 70}{space 3} 1.524733
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.022825{col 29}{space 2} .1495506{col 40}{space 1}    0.15{col 49}{space 3}0.877{col 57}{space 4} .7679701{col 70}{space 3} 1.362255
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9600649{col 29}{space 2} .0857673{col 40}{space 1}   -0.46{col 49}{space 3}0.648{col 57}{space 4} .8058581{col 70}{space 3}  1.14378
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.468183{col 29}{space 2} .2748772{col 40}{space 1}    8.11{col 49}{space 3}0.000{col 57}{space 4} 1.984177{col 70}{space 3} 3.070253
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.226302{col 29}{space 2} .1681002{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4} .9373797{col 70}{space 3} 1.604276
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.641508{col 29}{space 2} .1961327{col 40}{space 1}    4.15{col 49}{space 3}0.000{col 57}{space 4} 1.298789{col 70}{space 3} 2.074662
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.088436{col 29}{space 2} .0916096{col 40}{space 1}    1.01{col 49}{space 3}0.314{col 57}{space 4} .9229126{col 70}{space 3} 1.283646
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .9216993{col 29}{space 2} .1816104{col 40}{space 1}   -0.41{col 49}{space 3}0.679{col 57}{space 4} .6264258{col 70}{space 3} 1.356154
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .8672816{col 29}{space 2} .1001396{col 40}{space 1}   -1.23{col 49}{space 3}0.217{col 57}{space 4} .6916354{col 70}{space 3} 1.087535
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6561826{col 29}{space 2} .1439336{col 40}{space 1}   -1.92{col 49}{space 3}0.055{col 57}{space 4} .4268877{col 70}{space 3} 1.008639
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.128763{col 29}{space 2}   .24734{col 40}{space 1}    0.55{col 49}{space 3}0.580{col 57}{space 4}  .734655{col 70}{space 3} 1.734292
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.078596{col 29}{space 2} .3406664{col 40}{space 1}    0.24{col 49}{space 3}0.811{col 57}{space 4} .5807821{col 70}{space 3} 2.003108
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6616331{col 29}{space 2} .0622936{col 40}{space 1}   -4.39{col 49}{space 3}0.000{col 57}{space 4} .5501428{col 70}{space 3} .7957176
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.137805{col 29}{space 2} .2271843{col 40}{space 1}    0.65{col 49}{space 3}0.518{col 57}{space 4} .7693236{col 70}{space 3} 1.682776
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.458744{col 29}{space 2} .4751273{col 40}{space 1}    1.16{col 49}{space 3}0.246{col 57}{space 4} .7704318{col 70}{space 3} 2.762001
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.106268{col 29}{space 2} .3042494{col 40}{space 1}    0.37{col 49}{space 3}0.713{col 57}{space 4}  .645298{col 70}{space 3} 1.896534
{txt}{space 12}17  {c |}{col 17}{res}{space 2}  .557116{col 29}{space 2} .0832181{col 40}{space 1}   -3.92{col 49}{space 3}0.000{col 57}{space 4} .4157183{col 70}{space 3} .7466071
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5661273{col 29}{space 2} .1101473{col 40}{space 1}   -2.92{col 49}{space 3}0.003{col 57}{space 4} .3866357{col 70}{space 3}  .828946
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5209178{col 29}{space 2} .0423906{col 40}{space 1}   -8.01{col 49}{space 3}0.000{col 57}{space 4}  .444121{col 70}{space 3} .6109943
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8987559{col 29}{space 2} .0970606{col 40}{space 1}   -0.99{col 49}{space 3}0.323{col 57}{space 4} .7273053{col 70}{space 3} 1.110623
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 2.181637{col 29}{space 2} .5417994{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} 1.340882{col 70}{space 3} 3.549559
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 2.273615{col 29}{space 2} .7715841{col 40}{space 1}    2.42{col 49}{space 3}0.016{col 57}{space 4} 1.169094{col 70}{space 3} 4.421651
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.904145{col 29}{space 2} .7150451{col 40}{space 1}    4.33{col 49}{space 3}0.000{col 57}{space 4} 1.792418{col 70}{space 3} 4.705407
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.679618{col 29}{space 2} .6892098{col 40}{space 1}    1.26{col 49}{space 3}0.206{col 57}{space 4} .7515034{col 70}{space 3} 3.753965
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.540449{col 29}{space 2} .6891351{col 40}{space 1}    0.97{col 49}{space 3}0.334{col 57}{space 4} .6409936{col 70}{space 3} 3.702037
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.887761{col 29}{space 2} 1.370388{col 40}{space 1}    0.88{col 49}{space 3}0.381{col 57}{space 4} .4550212{col 70}{space 3} 7.831815
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0543023{col 29}{space 2}  .015841{col 40}{space 1}    3.43{col 49}{space 3}0.001{col 57}{space 4} .0232545{col 70}{space 3} .0853502
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.055804{col 29}{space 2}  .016725{col 57}{space 4} 1.023527{col 70}{space 3} 1.089098
{txt}            1/p {c |}{col 17}{res}{space 2} .9471457{col 29}{space 2} .0150038{col 57}{space 4} .9181907{col 70}{space 3} .9770138
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-14091.78{col 39}-13053.27{col 50}    19{col 58} 26144.53{col 69}  26281.3
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. estimates store modelB7
{txt}
{com}. estout modelB7, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                  modelB7   
{txt}                     b/se   
{txt}{hline 28}
{res}_t                          {txt}
{txt}committee_~1{res}        0.039***{txt}
            {res}      (0.037)   {txt}
{txt}pressenflo~t{res}        0.050***{txt}
            {res}      (0.020)   {txt}
{txt}c.committe~b{res}      169.290***{txt}
            {res}    (192.612)   {txt}
{txt}experience~n{res}        1.005   {txt}
            {res}      (0.014)   {txt}
{txt}committees~e{res}        0.993   {txt}
            {res}      (0.004)   {txt}
{txt}ln_combill~d{res}        0.868*  {txt}
            {res}      (0.058)   {txt}
{txt}pres_app_m  {res}        1.004   {txt}
            {res}      (0.002)   {txt}
{txt}first90     {res}        2.483***{txt}
            {res}      (0.198)   {txt}
{txt}preselection{res}        0.784***{txt}
            {res}      (0.053)   {txt}
{txt}lameduck    {res}        0.922   {txt}
            {res}      (0.080)   {txt}
{txt}kv_workload {res}        1.000   {txt}
            {res}      (0.000)   {txt}
{txt}polarization{res}        0.005***{txt}
            {res}      (0.007)   {txt}
{txt}workload    {res}        1.002   {txt}
            {res}      (0.001)   {txt}
{txt}female      {res}        1.007   {txt}
            {res}      (0.046)   {txt}
{txt}priorconfirm{res}        0.956   {txt}
            {res}      (0.053)   {txt}
{txt}denied      {res}        0.611***{txt}
            {res}      (0.062)   {txt}
{txt}x_itier_2   {res}        0.926   {txt}
            {res}      (0.050)   {txt}
{txt}x_itier_3   {res}        0.743   {txt}
            {res}      (0.153)   {txt}
{txt}x_itier_4   {res}        0.762*  {txt}
            {res}      (0.099)   {txt}
{txt}defense     {res}        0.960   {txt}
            {res}      (0.098)   {txt}
{txt}infrastruc~e{res}        0.932   {txt}
            {res}      (0.075)   {txt}
{txt}social      {res}        0.899   {txt}
            {res}      (0.076)   {txt}
{txt}fvra        {res}        1.207** {txt}
            {res}      (0.078)   {txt}
{txt}firstrecess {res}        1.028   {txt}
            {res}      (0.053)   {txt}
{txt}secondrecess{res}        0.810*  {txt}
            {res}      (0.071)   {txt}
{txt}policy_maj~y{res}        1.307***{txt}
            {res}      (0.103)   {txt}
{txt}1.kbcom_1   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.kbcom_1   {res}        1.023   {txt}
            {res}      (0.150)   {txt}
{txt}3.kbcom_1   {res}        0.960   {txt}
            {res}      (0.086)   {txt}
{txt}4.kbcom_1   {res}        2.468***{txt}
            {res}      (0.275)   {txt}
{txt}5.kbcom_1   {res}        1.226   {txt}
            {res}      (0.168)   {txt}
{txt}6.kbcom_1   {res}        1.642***{txt}
            {res}      (0.196)   {txt}
{txt}7.kbcom_1   {res}        1.088   {txt}
            {res}      (0.092)   {txt}
{txt}8.kbcom_1   {res}        0.922   {txt}
            {res}      (0.182)   {txt}
{txt}9.kbcom_1   {res}        0.867   {txt}
            {res}      (0.100)   {txt}
{txt}10.kbcom_1  {res}        0.656   {txt}
            {res}      (0.144)   {txt}
{txt}11.kbcom_1  {res}        1.129   {txt}
            {res}      (0.247)   {txt}
{txt}12.kbcom_1  {res}        1.079   {txt}
            {res}      (0.341)   {txt}
{txt}13.kbcom_1  {res}        0.662***{txt}
            {res}      (0.062)   {txt}
{txt}14.kbcom_1  {res}        1.138   {txt}
            {res}      (0.227)   {txt}
{txt}15.kbcom_1  {res}        1.459   {txt}
            {res}      (0.475)   {txt}
{txt}16.kbcom_1  {res}        1.106   {txt}
            {res}      (0.304)   {txt}
{txt}17.kbcom_1  {res}        0.557***{txt}
            {res}      (0.083)   {txt}
{txt}18.kbcom_1  {res}        0.566** {txt}
            {res}      (0.110)   {txt}
{txt}19.kbcom_1  {res}        0.521***{txt}
            {res}      (0.042)   {txt}
{txt}20.kbcom_1  {res}        0.899   {txt}
            {res}      (0.097)   {txt}
{txt}1.presrev   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.presrev   {res}        2.182** {txt}
            {res}      (0.542)   {txt}
{txt}3.presrev   {res}        2.274*  {txt}
            {res}      (0.772)   {txt}
{txt}4.presrev   {res}        2.904***{txt}
            {res}      (0.715)   {txt}
{txt}5.presrev   {res}        1.680   {txt}
            {res}      (0.689)   {txt}
{txt}6.presrev   {res}        1.540   {txt}
            {res}      (0.689)   {txt}
{txt}_cons       {res}        1.888   {txt}
            {res}      (1.370)   {txt}
{txt}{hline 28}
{res}/                           {txt}
{txt}ln_p        {res}        1.056***{txt}
            {res}      (0.017)   {txt}
{txt}{hline 28}

{com}. *
. *
. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & SENATE CHAMBER MEDIAN DISTANCE IN RELATION TO THE PRESIDENT'S IDEAL POINT [MODEL B8: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##c.pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev, distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-14114.273
{txt}Iteration 1:  Log pseudolikelihood = {res}-14091.777
{txt}Iteration 2:  Log pseudolikelihood = {res}-14091.776

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14091.776}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-13891.887}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-13036.724}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-13008.562}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-13008.458}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-13008.458}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-13008.458{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .0446994{col 29}{space 2} .0342181{col 40}{space 1}   -4.06{col 49}{space 3}0.000{col 57}{space 4}   .00997{col 70}{space 3} .2004053
{txt}pressenfloora~t {c |}{col 17}{res}{space 2} .0798971{col 29}{space 2}  .034574{col 40}{space 1}   -5.84{col 49}{space 3}0.000{col 57}{space 4} .0342129{col 70}{space 3} .1865835
{txt}{space 15} {c |}
{space 2}c.chair_pres1#{c |}
{space 13}c. {c |}
pressenfloora~t {c |}{col 17}{res}{space 2}  153.614{col 29}{space 2} 160.2593{col 40}{space 1}    4.83{col 49}{space 3}0.000{col 57}{space 4} 19.87955{col 70}{space 3} 1187.012
{txt}{space 15} {c |}
chair_experie~1 {c |}{col 17}{res}{space 2} .9998525{col 29}{space 2}  .003553{col 40}{space 1}   -0.04{col 49}{space 3}0.967{col 57}{space 4} .9929129{col 70}{space 3} 1.006841
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9933203{col 29}{space 2} .0043583{col 40}{space 1}   -1.53{col 49}{space 3}0.127{col 57}{space 4} .9848147{col 70}{space 3} 1.001899
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2}  .860985{col 29}{space 2} .0586316{col 40}{space 1}   -2.20{col 49}{space 3}0.028{col 57}{space 4} .7534081{col 70}{space 3} .9839227
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2}  1.00452{col 29}{space 2} .0023777{col 40}{space 1}    1.91{col 49}{space 3}0.057{col 57}{space 4} .9998706{col 70}{space 3} 1.009191
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.492448{col 29}{space 2} .1905512{col 40}{space 1}   11.95{col 49}{space 3}0.000{col 57}{space 4} 2.145608{col 70}{space 3} 2.895354
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7996933{col 29}{space 2} .0579018{col 40}{space 1}   -3.09{col 49}{space 3}0.002{col 57}{space 4} .6938926{col 70}{space 3} .9216259
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9031221{col 29}{space 2}  .070163{col 40}{space 1}   -1.31{col 49}{space 3}0.190{col 57}{space 4}  .775563{col 70}{space 3} 1.051661
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  .999956{col 29}{space 2}  .000036{col 40}{space 1}   -1.22{col 49}{space 3}0.221{col 57}{space 4} .9998855{col 70}{space 3} 1.000026
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0115479{col 29}{space 2}  .013971{col 40}{space 1}   -3.69{col 49}{space 3}0.000{col 57}{space 4} .0010782{col 70}{space 3}  .123684
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002609{col 29}{space 2} .0014934{col 40}{space 1}    1.75{col 49}{space 3}0.080{col 57}{space 4} .9996864{col 70}{space 3}  1.00554
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.009784{col 29}{space 2} .0437573{col 40}{space 1}    0.22{col 49}{space 3}0.822{col 57}{space 4} .9275619{col 70}{space 3} 1.099294
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9706247{col 29}{space 2} .0550074{col 40}{space 1}   -0.53{col 49}{space 3}0.599{col 57}{space 4} .8685841{col 70}{space 3} 1.084653
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6092221{col 29}{space 2} .0629886{col 40}{space 1}   -4.79{col 49}{space 3}0.000{col 57}{space 4} .4974716{col 70}{space 3} .7460757
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2}  .915151{col 29}{space 2} .0491489{col 40}{space 1}   -1.65{col 49}{space 3}0.099{col 57}{space 4} .8237175{col 70}{space 3} 1.016734
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7346843{col 29}{space 2} .1455344{col 40}{space 1}   -1.56{col 49}{space 3}0.120{col 57}{space 4} .4982937{col 70}{space 3} 1.083219
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7732871{col 29}{space 2}  .099631{col 40}{space 1}   -2.00{col 49}{space 3}0.046{col 57}{space 4} .6007188{col 70}{space 3}  .995429
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9649848{col 29}{space 2} .0959479{col 40}{space 1}   -0.36{col 49}{space 3}0.720{col 57}{space 4} .7941197{col 70}{space 3} 1.172614
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9194096{col 29}{space 2} .0757315{col 40}{space 1}   -1.02{col 49}{space 3}0.308{col 57}{space 4} .7823406{col 70}{space 3} 1.080494
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9110571{col 29}{space 2} .0753059{col 40}{space 1}   -1.13{col 49}{space 3}0.260{col 57}{space 4} .7747958{col 70}{space 3} 1.071282
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.240083{col 29}{space 2} .0746933{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} 1.101997{col 70}{space 3}  1.39547
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.024788{col 29}{space 2} .0510539{col 40}{space 1}    0.49{col 49}{space 3}0.623{col 57}{space 4}  .929454{col 70}{space 3}   1.1299
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7933964{col 29}{space 2} .0695551{col 40}{space 1}   -2.64{col 49}{space 3}0.008{col 57}{space 4}   .66814{col 70}{space 3} .9421345
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.312919{col 29}{space 2}  .101766{col 40}{space 1}    3.51{col 49}{space 3}0.000{col 57}{space 4} 1.127873{col 70}{space 3} 1.528325
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.029347{col 29}{space 2} .1124595{col 40}{space 1}    0.26{col 49}{space 3}0.791{col 57}{space 4} .8309318{col 70}{space 3} 1.275141
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9386736{col 29}{space 2} .0586932{col 40}{space 1}   -1.01{col 49}{space 3}0.311{col 57}{space 4} .8304067{col 70}{space 3} 1.061056
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.726035{col 29}{space 2} .3193098{col 40}{space 1}    8.56{col 49}{space 3}0.000{col 57}{space 4} 2.166842{col 70}{space 3} 3.429537
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.271749{col 29}{space 2}  .150146{col 40}{space 1}    2.04{col 49}{space 3}0.042{col 57}{space 4} 1.009035{col 70}{space 3} 1.602863
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.739117{col 29}{space 2} .1635194{col 40}{space 1}    5.89{col 49}{space 3}0.000{col 57}{space 4} 1.446423{col 70}{space 3} 2.091041
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.178058{col 29}{space 2} .0866753{col 40}{space 1}    2.23{col 49}{space 3}0.026{col 57}{space 4} 1.019858{col 70}{space 3} 1.360798
{txt}{space 13}8  {c |}{col 17}{res}{space 2}  1.02463{col 29}{space 2} .1725655{col 40}{space 1}    0.14{col 49}{space 3}0.885{col 57}{space 4} .7365634{col 70}{space 3} 1.425359
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9272728{col 29}{space 2} .0865563{col 40}{space 1}   -0.81{col 49}{space 3}0.419{col 57}{space 4} .7722397{col 70}{space 3}  1.11343
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7318724{col 29}{space 2} .1661221{col 40}{space 1}   -1.38{col 49}{space 3}0.169{col 57}{space 4} .4690592{col 70}{space 3}  1.14194
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.156296{col 29}{space 2} .2335591{col 40}{space 1}    0.72{col 49}{space 3}0.472{col 57}{space 4} .7782795{col 70}{space 3} 1.717918
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.293109{col 29}{space 2} .4169677{col 40}{space 1}    0.80{col 49}{space 3}0.425{col 57}{space 4} .6873251{col 70}{space 3}  2.43281
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7363203{col 29}{space 2} .0730281{col 40}{space 1}   -3.09{col 49}{space 3}0.002{col 57}{space 4} .6062402{col 70}{space 3} .8943115
{txt}{space 12}14  {c |}{col 17}{res}{space 2}  1.04554{col 29}{space 2} .1996845{col 40}{space 1}    0.23{col 49}{space 3}0.816{col 57}{space 4} .7190719{col 70}{space 3} 1.520229
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.549297{col 29}{space 2} .4933978{col 40}{space 1}    1.37{col 49}{space 3}0.169{col 57}{space 4} .8299585{col 70}{space 3} 2.892099
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.185323{col 29}{space 2} .3064624{col 40}{space 1}    0.66{col 49}{space 3}0.511{col 57}{space 4} .7141021{col 70}{space 3} 1.967491
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5295129{col 29}{space 2} .0823311{col 40}{space 1}   -4.09{col 49}{space 3}0.000{col 57}{space 4} .3904162{col 70}{space 3} .7181666
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5573595{col 29}{space 2} .1026472{col 40}{space 1}   -3.17{col 49}{space 3}0.002{col 57}{space 4} .3884832{col 70}{space 3} .7996475
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .6057129{col 29}{space 2} .0529331{col 40}{space 1}   -5.74{col 49}{space 3}0.000{col 57}{space 4} .5103646{col 70}{space 3} .7188746
{txt}{space 12}20  {c |}{col 17}{res}{space 2}  .925918{col 29}{space 2} .0959271{col 40}{space 1}   -0.74{col 49}{space 3}0.458{col 57}{space 4}  .755764{col 70}{space 3} 1.134381
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 2.224966{col 29}{space 2} .4905594{col 40}{space 1}    3.63{col 49}{space 3}0.000{col 57}{space 4} 1.444279{col 70}{space 3} 3.427646
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 2.535166{col 29}{space 2} .8160334{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} 1.349016{col 70}{space 3} 4.764265
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  2.77395{col 29}{space 2}  .661794{col 40}{space 1}    4.28{col 49}{space 3}0.000{col 57}{space 4} 1.737895{col 70}{space 3} 4.427654
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.659513{col 29}{space 2} .6384711{col 40}{space 1}    1.32{col 49}{space 3}0.188{col 57}{space 4} .7807183{col 70}{space 3} 3.527498
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.824581{col 29}{space 2} .6987709{col 40}{space 1}    1.57{col 49}{space 3}0.116{col 57}{space 4} .8613373{col 70}{space 3} 3.865031
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .6554877{col 29}{space 2} .4299659{col 40}{space 1}   -0.64{col 49}{space 3}0.520{col 57}{space 4}  .181226{col 70}{space 3} 2.370874
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0635082{col 29}{space 2} .0154353{col 40}{space 1}    4.11{col 49}{space 3}0.000{col 57}{space 4} .0332555{col 70}{space 3} .0937609
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.065568{col 29}{space 2} .0164474{col 57}{space 4} 1.033815{col 70}{space 3} 1.098297
{txt}            1/p {c |}{col 17}{res}{space 2} .9384664{col 29}{space 2} .0144855{col 57}{space 4} .9105004{col 70}{space 3} .9672914
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-14091.78{col 39}-13008.46{col 50}    19{col 58} 26054.92{col 69} 26191.68
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. estimates store modelB8
{txt}
{com}. estout modelB8, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                  modelB8   
{txt}                     b/se   
{txt}{hline 28}
{res}_t                          {txt}
{txt}chair_pres1 {res}        0.045***{txt}
            {res}      (0.034)   {txt}
{txt}pressenflo~t{res}        0.080***{txt}
            {res}      (0.035)   {txt}
{txt}c.chair_pr~s{res}      153.614***{txt}
            {res}    (160.259)   {txt}
{txt}chair_expe~1{res}        1.000   {txt}
            {res}      (0.004)   {txt}
{txt}committees~e{res}        0.993   {txt}
            {res}      (0.004)   {txt}
{txt}ln_combill~d{res}        0.861*  {txt}
            {res}      (0.059)   {txt}
{txt}pres_app_m  {res}        1.005   {txt}
            {res}      (0.002)   {txt}
{txt}first90     {res}        2.492***{txt}
            {res}      (0.191)   {txt}
{txt}preselection{res}        0.800** {txt}
            {res}      (0.058)   {txt}
{txt}lameduck    {res}        0.903   {txt}
            {res}      (0.070)   {txt}
{txt}kv_workload {res}        1.000   {txt}
            {res}      (0.000)   {txt}
{txt}polarization{res}        0.012***{txt}
            {res}      (0.014)   {txt}
{txt}workload    {res}        1.003   {txt}
            {res}      (0.001)   {txt}
{txt}female      {res}        1.010   {txt}
            {res}      (0.044)   {txt}
{txt}priorconfirm{res}        0.971   {txt}
            {res}      (0.055)   {txt}
{txt}denied      {res}        0.609***{txt}
            {res}      (0.063)   {txt}
{txt}x_itier_2   {res}        0.915   {txt}
            {res}      (0.049)   {txt}
{txt}x_itier_3   {res}        0.735   {txt}
            {res}      (0.146)   {txt}
{txt}x_itier_4   {res}        0.773*  {txt}
            {res}      (0.100)   {txt}
{txt}defense     {res}        0.965   {txt}
            {res}      (0.096)   {txt}
{txt}infrastruc~e{res}        0.919   {txt}
            {res}      (0.076)   {txt}
{txt}social      {res}        0.911   {txt}
            {res}      (0.075)   {txt}
{txt}fvra        {res}        1.240***{txt}
            {res}      (0.075)   {txt}
{txt}firstrecess {res}        1.025   {txt}
            {res}      (0.051)   {txt}
{txt}secondrecess{res}        0.793** {txt}
            {res}      (0.070)   {txt}
{txt}policy_maj~y{res}        1.313***{txt}
            {res}      (0.102)   {txt}
{txt}1.kbcom_1   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.kbcom_1   {res}        1.029   {txt}
            {res}      (0.112)   {txt}
{txt}3.kbcom_1   {res}        0.939   {txt}
            {res}      (0.059)   {txt}
{txt}4.kbcom_1   {res}        2.726***{txt}
            {res}      (0.319)   {txt}
{txt}5.kbcom_1   {res}        1.272*  {txt}
            {res}      (0.150)   {txt}
{txt}6.kbcom_1   {res}        1.739***{txt}
            {res}      (0.164)   {txt}
{txt}7.kbcom_1   {res}        1.178*  {txt}
            {res}      (0.087)   {txt}
{txt}8.kbcom_1   {res}        1.025   {txt}
            {res}      (0.173)   {txt}
{txt}9.kbcom_1   {res}        0.927   {txt}
            {res}      (0.087)   {txt}
{txt}10.kbcom_1  {res}        0.732   {txt}
            {res}      (0.166)   {txt}
{txt}11.kbcom_1  {res}        1.156   {txt}
            {res}      (0.234)   {txt}
{txt}12.kbcom_1  {res}        1.293   {txt}
            {res}      (0.417)   {txt}
{txt}13.kbcom_1  {res}        0.736** {txt}
            {res}      (0.073)   {txt}
{txt}14.kbcom_1  {res}        1.046   {txt}
            {res}      (0.200)   {txt}
{txt}15.kbcom_1  {res}        1.549   {txt}
            {res}      (0.493)   {txt}
{txt}16.kbcom_1  {res}        1.185   {txt}
            {res}      (0.306)   {txt}
{txt}17.kbcom_1  {res}        0.530***{txt}
            {res}      (0.082)   {txt}
{txt}18.kbcom_1  {res}        0.557** {txt}
            {res}      (0.103)   {txt}
{txt}19.kbcom_1  {res}        0.606***{txt}
            {res}      (0.053)   {txt}
{txt}20.kbcom_1  {res}        0.926   {txt}
            {res}      (0.096)   {txt}
{txt}1.presrev   {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.presrev   {res}        2.225***{txt}
            {res}      (0.491)   {txt}
{txt}3.presrev   {res}        2.535** {txt}
            {res}      (0.816)   {txt}
{txt}4.presrev   {res}        2.774***{txt}
            {res}      (0.662)   {txt}
{txt}5.presrev   {res}        1.660   {txt}
            {res}      (0.638)   {txt}
{txt}6.presrev   {res}        1.825   {txt}
            {res}      (0.699)   {txt}
{txt}_cons       {res}        0.655   {txt}
            {res}      (0.430)   {txt}
{txt}{hline 28}
{res}/                           {txt}
{txt}ln_p        {res}        1.066***{txt}
            {res}      (0.016)   {txt}
{txt}{hline 28}

{com}. *
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. 
. *** III. COMPARISON OF PARTISAN-BASED AND IDEOLOGICAL DISTINCTIONS OF THE PSCD HYPOTHESIS [MANUSCRIPT MODELS COMPARED TO THOSE SUBSTITUTING |SENATE CHAMBER MEDIAN - PRESIDENT| ***
. ***      FOR |SENATE COMMITTEE MEDIAN [CHAIR] -  PRESIDENT| IN STATISTICAL MODELS REPORTED IN THE MANUSCRIPT ***
. 
. 
. 
. 
. *** COMPARISON OF COMMITTEE VERSUS CHAMBER IDEOLOGICAL MODELS [COX SEMIPARAMETRIC MODELS] *** 
. 
. 
. 
. *** MODEL 1 |SENATE COMMITTEE MEDIAN - PRESIDENT|  ***
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1  i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-59700.769
{txt}Iteration 1:  Log pseudolikelihood = {res}-59444.852
{txt}Iteration 2:  Log pseudolikelihood = {res}-58823.808
{txt}Iteration 3:  Log pseudolikelihood = {res}-58769.638
{txt}Iteration 4:  Log pseudolikelihood = {res}-58768.337
{txt}Iteration 5:  Log pseudolikelihood = {res}-58768.336
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-58768.336

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 54}{txt}{lalign 13:Number of obs} = {res}{ralign 9:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 54}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 9:119508.24}
{txt}Log pseudolikelihood = {res}-58768.336{col 54}{txt}{lalign 13:Prob > chi2} = {res}{ralign 9:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .3455547{col 29}{space 2} .1883303{col 40}{space 1}   -1.95{col 49}{space 3}0.051{col 57}{space 4} .1187421{col 70}{space 3} 1.005609
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2773871{col 29}{space 2} .1342547{col 40}{space 1}   -2.65{col 49}{space 3}0.008{col 57}{space 4} .1074253{col 70}{space 3} .7162518
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 5.537212{col 29}{space 2} 3.225781{col 40}{space 1}    2.94{col 49}{space 3}0.003{col 57}{space 4} 1.767713{col 70}{space 3} 17.34485
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.174547{col 29}{space 2}  .801617{col 40}{space 1}    0.24{col 49}{space 3}0.814{col 57}{space 4} .3082717{col 70}{space 3} 4.475146
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9937275{col 29}{space 2} .0109656{col 40}{space 1}   -0.57{col 49}{space 3}0.569{col 57}{space 4} .9724661{col 70}{space 3} 1.015454
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9913674{col 29}{space 2} .0042364{col 40}{space 1}   -2.03{col 49}{space 3}0.042{col 57}{space 4} .9830989{col 70}{space 3} .9997056
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8996046{col 29}{space 2} .0824874{col 40}{space 1}   -1.15{col 49}{space 3}0.249{col 57}{space 4} .7516271{col 70}{space 3} 1.076715
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002869{col 29}{space 2} .0021664{col 40}{space 1}    1.33{col 49}{space 3}0.185{col 57}{space 4} .9986322{col 70}{space 3} 1.007124
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.778825{col 29}{space 2} .2531011{col 40}{space 1}   11.22{col 49}{space 3}0.000{col 57}{space 4} 2.324513{col 70}{space 3} 3.321929
{txt}{space 3}preselection {c |}{col 17}{res}{space 2}   .68984{col 29}{space 2} .0427717{col 40}{space 1}   -5.99{col 49}{space 3}0.000{col 57}{space 4} .6109026{col 70}{space 3} .7789773
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8712973{col 29}{space 2} .0632321{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4} .7557752{col 70}{space 3} 1.004477
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999838{col 29}{space 2} .0000325{col 40}{space 1}   -0.50{col 49}{space 3}0.618{col 57}{space 4}   .99992{col 70}{space 3} 1.000048
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0624136{col 29}{space 2} .0779486{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4} .0053977{col 70}{space 3} .7216852
{txt}{space 7}workload {c |}{col 17}{res}{space 2}   1.0021{col 29}{space 2} .0013188{col 40}{space 1}    1.59{col 49}{space 3}0.111{col 57}{space 4} .9995182{col 70}{space 3} 1.004688
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.002407{col 29}{space 2} .0422175{col 40}{space 1}    0.06{col 49}{space 3}0.954{col 57}{space 4} .9229852{col 70}{space 3} 1.088663
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9798169{col 29}{space 2} .0475901{col 40}{space 1}   -0.42{col 49}{space 3}0.675{col 57}{space 4} .8908441{col 70}{space 3} 1.077676
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6713738{col 29}{space 2} .0668592{col 40}{space 1}   -4.00{col 49}{space 3}0.000{col 57}{space 4} .5523278{col 70}{space 3} .8160785
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9549586{col 29}{space 2} .0434339{col 40}{space 1}   -1.01{col 49}{space 3}0.311{col 57}{space 4} .8735137{col 70}{space 3} 1.043997
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .829986{col 29}{space 2} .1437083{col 40}{space 1}   -1.08{col 49}{space 3}0.282{col 57}{space 4} .5911383{col 70}{space 3} 1.165339
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8171359{col 29}{space 2}  .094521{col 40}{space 1}   -1.75{col 49}{space 3}0.081{col 57}{space 4} .6513776{col 70}{space 3} 1.025075
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9771073{col 29}{space 2} .0847063{col 40}{space 1}   -0.27{col 49}{space 3}0.789{col 57}{space 4} .8244245{col 70}{space 3} 1.158067
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9539615{col 29}{space 2} .0672643{col 40}{space 1}   -0.67{col 49}{space 3}0.504{col 57}{space 4}   .83083{col 70}{space 3} 1.095342
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9088689{col 29}{space 2} .0601476{col 40}{space 1}   -1.44{col 49}{space 3}0.149{col 57}{space 4} .7983071{col 70}{space 3} 1.034743
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.205004{col 29}{space 2} .0780931{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} 1.061267{col 70}{space 3}  1.36821
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9604631{col 29}{space 2} .0423939{col 40}{space 1}   -0.91{col 49}{space 3}0.361{col 57}{space 4} .8808653{col 70}{space 3} 1.047254
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2}  .752986{col 29}{space 2}  .064556{col 40}{space 1}   -3.31{col 49}{space 3}0.001{col 57}{space 4} .6365177{col 70}{space 3} .8907652
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.252151{col 29}{space 2} .0792763{col 40}{space 1}    3.55{col 49}{space 3}0.000{col 57}{space 4} 1.106026{col 70}{space 3} 1.417581
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.048023{col 29}{space 2}  .131445{col 40}{space 1}    0.37{col 49}{space 3}0.708{col 57}{space 4} .8196179{col 70}{space 3} 1.340078
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9298937{col 29}{space 2} .0699643{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4} .8023978{col 70}{space 3} 1.077648
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.324175{col 29}{space 2} .4093977{col 40}{space 1}    9.75{col 49}{space 3}0.000{col 57}{space 4}  2.61127{col 70}{space 3}  4.23171
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.296319{col 29}{space 2} .2102755{col 40}{space 1}    1.60{col 49}{space 3}0.110{col 57}{space 4} .9432761{col 70}{space 3} 1.781497
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.522082{col 29}{space 2} .2131595{col 40}{space 1}    3.00{col 49}{space 3}0.003{col 57}{space 4}  1.15673{col 70}{space 3} 2.002831
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.082441{col 29}{space 2} .1032359{col 40}{space 1}    0.83{col 49}{space 3}0.406{col 57}{space 4} .8978882{col 70}{space 3} 1.304926
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .9988801{col 29}{space 2} .2681799{col 40}{space 1}   -0.00{col 49}{space 3}0.997{col 57}{space 4} .5901771{col 70}{space 3} 1.690614
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9645213{col 29}{space 2} .1199263{col 40}{space 1}   -0.29{col 49}{space 3}0.771{col 57}{space 4} .7559193{col 70}{space 3} 1.230689
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .8017091{col 29}{space 2} .1922305{col 40}{space 1}   -0.92{col 49}{space 3}0.357{col 57}{space 4} .5010941{col 70}{space 3} 1.282668
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.207639{col 29}{space 2}  .310747{col 40}{space 1}    0.73{col 49}{space 3}0.463{col 57}{space 4} .7293025{col 70}{space 3} 1.999707
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.21705{col 29}{space 2} .4085773{col 40}{space 1}    0.59{col 49}{space 3}0.558{col 57}{space 4} .6303043{col 70}{space 3} 2.349991
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6589624{col 29}{space 2} .0624533{col 40}{space 1}   -4.40{col 49}{space 3}0.000{col 57}{space 4} .5472526{col 70}{space 3} .7934753
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.190897{col 29}{space 2} .2726561{col 40}{space 1}    0.76{col 49}{space 3}0.445{col 57}{space 4} .7603112{col 70}{space 3} 1.865335
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.780831{col 29}{space 2} .6736178{col 40}{space 1}    1.53{col 49}{space 3}0.127{col 57}{space 4} .8484903{col 70}{space 3} 3.737649
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.235201{col 29}{space 2} .3622805{col 40}{space 1}    0.72{col 49}{space 3}0.471{col 57}{space 4} .6951573{col 70}{space 3} 2.194787
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5996267{col 29}{space 2} .0814234{col 40}{space 1}   -3.77{col 49}{space 3}0.000{col 57}{space 4} .4595113{col 70}{space 3} .7824665
{txt}{space 12}18  {c |}{col 17}{res}{space 2}  .770591{col 29}{space 2} .2015812{col 40}{space 1}   -1.00{col 49}{space 3}0.319{col 57}{space 4} .4614829{col 70}{space 3} 1.286744
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4996158{col 29}{space 2} .0510183{col 40}{space 1}   -6.80{col 49}{space 3}0.000{col 57}{space 4} .4089927{col 70}{space 3} .6103187
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8718078{col 29}{space 2} .0750779{col 40}{space 1}   -1.59{col 49}{space 3}0.111{col 57}{space 4} .7364062{col 70}{space 3} 1.032106
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.664653{col 29}{space 2} .3593316{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} 1.090395{col 70}{space 3} 2.541347
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.603092{col 29}{space 2} .4620934{col 40}{space 1}    1.64{col 49}{space 3}0.102{col 57}{space 4} .9111681{col 70}{space 3}  2.82045
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.446869{col 29}{space 2} .3541315{col 40}{space 1}    1.51{col 49}{space 3}0.131{col 57}{space 4} .8955534{col 70}{space 3} 2.337582
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.043466{col 29}{space 2}  .346877{col 40}{space 1}    0.13{col 49}{space 3}0.898{col 57}{space 4} .5438955{col 70}{space 3} 2.001895
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .8768419{col 29}{space 2} .3799191{col 40}{space 1}   -0.30{col 49}{space 3}0.762{col 57}{space 4} .3750695{col 70}{space 3} 2.049891
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-59700.77{col 39}-58768.34{col 50}    19{col 58} 117574.7{col 69} 117711.4
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. *
. testparm sendivide#c.committee_pres1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.sendivide#c.committee_pres1 = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    8.63
{txt}{col 10}Prob > chi2 =  {res}  0.0033
{txt}
{com}. *
. testparm committee_pres1 1.sendivide sendivide#c.committee_pres1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}committee_pres1 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} 1.sendivide = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} 1.sendivide#c.committee_pres1 = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   10.83
{txt}{col 10}Prob > chi2 =  {res}  0.0127
{txt}
{com}. 
. 
. 
. 
. *** MODEL 2 |SENATE CHAIR - PRESIDENT| ***
. 
. stcox  c.chair_pres1##i.sendivide  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-59700.769
{txt}Iteration 1:  Log pseudolikelihood = {res}-59445.125
{txt}Iteration 2:  Log pseudolikelihood = {res}-58829.656
{txt}Iteration 3:  Log pseudolikelihood = {res}-58776.459
{txt}Iteration 4:  Log pseudolikelihood = {res}-58775.201
{txt}Iteration 5:  Log pseudolikelihood = {res}  -58775.2
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}  -58775.2

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:43425.54}
{txt}Log pseudolikelihood = {res}-58775.2{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .6900452{col 29}{space 2} .0805805{col 40}{space 1}   -3.18{col 49}{space 3}0.001{col 57}{space 4} .5488806{col 70}{space 3} .8675154
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3659239{col 29}{space 2} .0890804{col 40}{space 1}   -4.13{col 49}{space 3}0.000{col 57}{space 4} .2270777{col 70}{space 3} .5896672
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.796618{col 29}{space 2} .7046017{col 40}{space 1}    4.08{col 49}{space 3}0.000{col 57}{space 4} 1.706769{col 70}{space 3} 4.582384
{txt}{space 15} {c |}
chair_experie~1 {c |}{col 17}{res}{space 2} 1.004845{col 29}{space 2} .0027133{col 40}{space 1}    1.79{col 49}{space 3}0.073{col 57}{space 4} .9995414{col 70}{space 3} 1.010177
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9916449{col 29}{space 2} .0045206{col 40}{space 1}   -1.84{col 49}{space 3}0.066{col 57}{space 4} .9828241{col 70}{space 3} 1.000545
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8777615{col 29}{space 2} .0775303{col 40}{space 1}   -1.48{col 49}{space 3}0.140{col 57}{space 4} .7382309{col 70}{space 3} 1.043664
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.002577{col 29}{space 2} .0019296{col 40}{space 1}    1.34{col 49}{space 3}0.181{col 57}{space 4} .9988019{col 70}{space 3} 1.006366
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.856156{col 29}{space 2} .2514018{col 40}{space 1}   11.92{col 49}{space 3}0.000{col 57}{space 4} 2.403579{col 70}{space 3} 3.393951
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6729187{col 29}{space 2} .0442977{col 40}{space 1}   -6.02{col 49}{space 3}0.000{col 57}{space 4} .5914645{col 70}{space 3} .7655906
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8518907{col 29}{space 2} .0634621{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4} .7361615{col 70}{space 3} .9858132
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999832{col 29}{space 2} .0000316{col 40}{space 1}   -0.53{col 49}{space 3}0.596{col 57}{space 4} .9999213{col 70}{space 3} 1.000045
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0508399{col 29}{space 2} .0617423{col 40}{space 1}   -2.45{col 49}{space 3}0.014{col 57}{space 4}  .004704{col 70}{space 3} .5494698
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001897{col 29}{space 2} .0013302{col 40}{space 1}    1.43{col 49}{space 3}0.154{col 57}{space 4} .9992928{col 70}{space 3} 1.004507
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.000227{col 29}{space 2} .0426441{col 40}{space 1}    0.01{col 49}{space 3}0.996{col 57}{space 4} .9200426{col 70}{space 3} 1.087399
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9723922{col 29}{space 2} .0490306{col 40}{space 1}   -0.56{col 49}{space 3}0.579{col 57}{space 4} .8808898{col 70}{space 3} 1.073399
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6731138{col 29}{space 2} .0698071{col 40}{space 1}   -3.82{col 49}{space 3}0.000{col 57}{space 4} .5493034{col 70}{space 3} .8248305
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9394349{col 29}{space 2} .0461153{col 40}{space 1}   -1.27{col 49}{space 3}0.203{col 57}{space 4} .8532624{col 70}{space 3}  1.03431
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .818749{col 29}{space 2} .1401638{col 40}{space 1}   -1.17{col 49}{space 3}0.243{col 57}{space 4} .5853712{col 70}{space 3} 1.145171
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8130602{col 29}{space 2} .0950214{col 40}{space 1}   -1.77{col 49}{space 3}0.077{col 57}{space 4} .6466121{col 70}{space 3} 1.022355
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9918768{col 29}{space 2} .0812897{col 40}{space 1}   -0.10{col 49}{space 3}0.921{col 57}{space 4} .8446896{col 70}{space 3} 1.164711
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9480822{col 29}{space 2} .0638481{col 40}{space 1}   -0.79{col 49}{space 3}0.429{col 57}{space 4} .8308493{col 70}{space 3} 1.081857
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9211846{col 29}{space 2} .0655139{col 40}{space 1}   -1.15{col 49}{space 3}0.248{col 57}{space 4} .8013271{col 70}{space 3}  1.05897
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.209614{col 29}{space 2} .0809394{col 40}{space 1}    2.84{col 49}{space 3}0.004{col 57}{space 4} 1.060938{col 70}{space 3} 1.379125
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9584577{col 29}{space 2} .0422499{col 40}{space 1}   -0.96{col 49}{space 3}0.336{col 57}{space 4} .8791259{col 70}{space 3} 1.044948
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7621815{col 29}{space 2} .0617824{col 40}{space 1}   -3.35{col 49}{space 3}0.001{col 57}{space 4} .6502195{col 70}{space 3} .8934222
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.268406{col 29}{space 2} .0827457{col 40}{space 1}    3.64{col 49}{space 3}0.000{col 57}{space 4} 1.116167{col 70}{space 3} 1.441409
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9799454{col 29}{space 2} .0887198{col 40}{space 1}   -0.22{col 49}{space 3}0.823{col 57}{space 4} .8206122{col 70}{space 3} 1.170215
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  .949399{col 29}{space 2} .0598002{col 40}{space 1}   -0.82{col 49}{space 3}0.410{col 57}{space 4} .8391387{col 70}{space 3} 1.074147
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.328014{col 29}{space 2} .4329438{col 40}{space 1}    9.24{col 49}{space 3}0.000{col 57}{space 4} 2.579002{col 70}{space 3} 4.294559
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.269836{col 29}{space 2} .1981809{col 40}{space 1}    1.53{col 49}{space 3}0.126{col 57}{space 4} .9351956{col 70}{space 3} 1.724222
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.564994{col 29}{space 2} .1979699{col 40}{space 1}    3.54{col 49}{space 3}0.000{col 57}{space 4}  1.22134{col 70}{space 3} 2.005343
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.131196{col 29}{space 2} .1085276{col 40}{space 1}    1.28{col 49}{space 3}0.199{col 57}{space 4} .9372883{col 70}{space 3}  1.36522
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.031441{col 29}{space 2} .2809381{col 40}{space 1}    0.11{col 49}{space 3}0.910{col 57}{space 4} .6047817{col 70}{space 3} 1.759097
{txt}{space 13}9  {c |}{col 17}{res}{space 2}  .960019{col 29}{space 2} .1133733{col 40}{space 1}   -0.35{col 49}{space 3}0.730{col 57}{space 4} .7616533{col 70}{space 3} 1.210047
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .8295767{col 29}{space 2}  .214503{col 40}{space 1}   -0.72{col 49}{space 3}0.470{col 57}{space 4} .4997605{col 70}{space 3} 1.377054
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.273492{col 29}{space 2}  .355339{col 40}{space 1}    0.87{col 49}{space 3}0.386{col 57}{space 4} .7370346{col 70}{space 3} 2.200415
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.312223{col 29}{space 2}  .461273{col 40}{space 1}    0.77{col 49}{space 3}0.440{col 57}{space 4} .6588602{col 70}{space 3} 2.613499
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7480176{col 29}{space 2} .0731202{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4} .6175971{col 70}{space 3} .9059797
{txt}{space 12}14  {c |}{col 17}{res}{space 2}  1.09704{col 29}{space 2} .2245402{col 40}{space 1}    0.45{col 49}{space 3}0.651{col 57}{space 4} .7345142{col 70}{space 3} 1.638494
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.736791{col 29}{space 2} .6889979{col 40}{space 1}    1.39{col 49}{space 3}0.164{col 57}{space 4} .7981224{col 70}{space 3} 3.779423
{txt}{space 12}16  {c |}{col 17}{res}{space 2}  1.30492{col 29}{space 2} .4049531{col 40}{space 1}    0.86{col 49}{space 3}0.391{col 57}{space 4} .7102847{col 70}{space 3} 2.397372
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6191268{col 29}{space 2} .0888462{col 40}{space 1}   -3.34{col 49}{space 3}0.001{col 57}{space 4}  .467337{col 70}{space 3} .8202177
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .7456866{col 29}{space 2} .1877101{col 40}{space 1}   -1.17{col 49}{space 3}0.244{col 57}{space 4} .4552868{col 70}{space 3} 1.221315
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5247307{col 29}{space 2} .0485441{col 40}{space 1}   -6.97{col 49}{space 3}0.000{col 57}{space 4} .4377133{col 70}{space 3}  .629047
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8876942{col 29}{space 2}  .083376{col 40}{space 1}   -1.27{col 49}{space 3}0.205{col 57}{space 4} .7384395{col 70}{space 3} 1.067117
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.611625{col 29}{space 2} .3315292{col 40}{space 1}    2.32{col 49}{space 3}0.020{col 57}{space 4} 1.076868{col 70}{space 3} 2.411935
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.578195{col 29}{space 2} .4406164{col 40}{space 1}    1.63{col 49}{space 3}0.102{col 57}{space 4} .9130902{col 70}{space 3}  2.72777
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.355797{col 29}{space 2} .3974689{col 40}{space 1}    1.04{col 49}{space 3}0.299{col 57}{space 4} .7632276{col 70}{space 3} 2.408435
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.192891{col 29}{space 2} .4139208{col 40}{space 1}    0.51{col 49}{space 3}0.611{col 57}{space 4} .6042859{col 70}{space 3} 2.354826
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.147702{col 29}{space 2} .4432989{col 40}{space 1}    0.36{col 49}{space 3}0.721{col 57}{space 4}  .538336{col 70}{space 3} 2.446837
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-59700.77{col 39} -58775.2{col 50}    19{col 58} 117588.4{col 69} 117725.2
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. *
. testparm sendivide#c.chair_pres1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.sendivide#c.chair_pres1 = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   16.66
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. *
. testparm chair_pres1 1.sendivide sendivide#c.chair_pres1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}chair_pres1 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} 1.sendivide = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} 1.sendivide#c.chair_pres1 = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   23.68
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. 
. 
. 
. 
. 
. *** MODEL B9: |SENATE CHAMBER MEDIAN - PRESIDENT| ***
. 
. stcox  c.pressenfloorabsdist##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}note: {bf:pressenfloorabsdist} omitted because of collinearity.
Iteration 0:  Log pseudolikelihood = {res}-59700.769
{txt}Iteration 1:  Log pseudolikelihood = {res}-59407.189
{txt}Iteration 2:  Log pseudolikelihood = {res}-58773.097
{txt}Iteration 3:  Log pseudolikelihood = {res}-58718.055
{txt}Iteration 4:  Log pseudolikelihood = {res}-58716.736
{txt}Iteration 5:  Log pseudolikelihood = {res}-58716.735
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-58716.735

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 56}{txt}{lalign 13:Number of obs} = {res}{ralign 7:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 56}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 7:6537.39}
{txt}Log pseudolikelihood = {res}-58716.735{col 56}{txt}{lalign 13:Prob > chi2} = {res}{ralign 7:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
pressenfloora~t {c |}{col 17}{res}{space 2} .3533312{col 29}{space 2} .1091309{col 40}{space 1}   -3.37{col 49}{space 3}0.001{col 57}{space 4} .1928756{col 70}{space 3} .6472716
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .0553976{col 29}{space 2}  .034191{col 40}{space 1}   -4.69{col 49}{space 3}0.000{col 57}{space 4} .0165248{col 70}{space 3}  .185715
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
pressenfloora~t {c |}
{space 13}1  {c |}{col 17}{res}{space 2}  73.5991{col 29}{space 2} 60.35921{col 40}{space 1}    5.24{col 49}{space 3}0.000{col 57}{space 4} 14.75011{col 70}{space 3} 367.2397
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2}        1{col 29}{txt}  (omitted)
experience_me~n {c |}{col 17}{res}{space 2} .9899838{col 29}{space 2} .0096876{col 40}{space 1}   -1.03{col 49}{space 3}0.304{col 57}{space 4} .9711773{col 70}{space 3} 1.009154
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9905483{col 29}{space 2} .0044324{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4} .9818989{col 70}{space 3} .9992738
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7741531{col 29}{space 2} .0607747{col 40}{space 1}   -3.26{col 49}{space 3}0.001{col 57}{space 4} .6637484{col 70}{space 3} .9029221
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2}  1.00257{col 29}{space 2} .0019439{col 40}{space 1}    1.32{col 49}{space 3}0.186{col 57}{space 4} .9987667{col 70}{space 3} 1.006387
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.761401{col 29}{space 2} .2426822{col 40}{space 1}   11.56{col 49}{space 3}0.000{col 57}{space 4} 2.324463{col 70}{space 3} 3.280471
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6897918{col 29}{space 2} .0437241{col 40}{space 1}   -5.86{col 49}{space 3}0.000{col 57}{space 4} .6092038{col 70}{space 3} .7810403
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2}  .853776{col 29}{space 2} .0688088{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4} .7290252{col 70}{space 3}  .999874
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999637{col 29}{space 2} .0000349{col 40}{space 1}   -1.04{col 49}{space 3}0.298{col 57}{space 4} .9998953{col 70}{space 3} 1.000032
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .1404566{col 29}{space 2} .1839851{col 40}{space 1}   -1.50{col 49}{space 3}0.134{col 57}{space 4} .0107782{col 70}{space 3} 1.830363
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002582{col 29}{space 2} .0013723{col 40}{space 1}    1.88{col 49}{space 3}0.060{col 57}{space 4}  .999896{col 70}{space 3} 1.005275
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.001718{col 29}{space 2} .0415015{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4} .9235914{col 70}{space 3} 1.086453
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9850613{col 29}{space 2} .0479466{col 40}{space 1}   -0.31{col 49}{space 3}0.757{col 57}{space 4}  .895431{col 70}{space 3} 1.083663
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6689889{col 29}{space 2} .0663962{col 40}{space 1}   -4.05{col 49}{space 3}0.000{col 57}{space 4} .5507296{col 70}{space 3} .8126423
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9409509{col 29}{space 2} .0446623{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4} .8573628{col 70}{space 3} 1.032688
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8273401{col 29}{space 2}  .136773{col 40}{space 1}   -1.15{col 49}{space 3}0.252{col 57}{space 4} .5983652{col 70}{space 3} 1.143936
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .8260451{col 29}{space 2} .0960947{col 40}{space 1}   -1.64{col 49}{space 3}0.100{col 57}{space 4} .6576315{col 70}{space 3} 1.037588
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9722186{col 29}{space 2} .0738755{col 40}{space 1}   -0.37{col 49}{space 3}0.711{col 57}{space 4} .8376915{col 70}{space 3}  1.12835
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9523754{col 29}{space 2}  .064853{col 40}{space 1}   -0.72{col 49}{space 3}0.474{col 57}{space 4} .8333832{col 70}{space 3} 1.088358
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9243279{col 29}{space 2} .0645177{col 40}{space 1}   -1.13{col 49}{space 3}0.260{col 57}{space 4} .8061439{col 70}{space 3} 1.059838
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.255389{col 29}{space 2}  .085097{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} 1.099207{col 70}{space 3} 1.433763
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9517931{col 29}{space 2} .0408097{col 40}{space 1}   -1.15{col 49}{space 3}0.249{col 57}{space 4} .8750762{col 70}{space 3} 1.035236
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7325295{col 29}{space 2} .0620835{col 40}{space 1}   -3.67{col 49}{space 3}0.000{col 57}{space 4} .6204174{col 70}{space 3} .8649009
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.249448{col 29}{space 2} .0758898{col 40}{space 1}    3.67{col 49}{space 3}0.000{col 57}{space 4} 1.109219{col 70}{space 3} 1.407405
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.024938{col 29}{space 2} .1081866{col 40}{space 1}    0.23{col 49}{space 3}0.815{col 57}{space 4} .8333923{col 70}{space 3} 1.260508
{txt}{space 13}3  {c |}{col 17}{res}{space 2}   1.0376{col 29}{space 2} .0830559{col 40}{space 1}    0.46{col 49}{space 3}0.645{col 57}{space 4} .8869405{col 70}{space 3} 1.213851
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.857416{col 29}{space 2} .2825043{col 40}{space 1}   10.62{col 49}{space 3}0.000{col 57}{space 4} 2.354061{col 70}{space 3} 3.468401
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.512011{col 29}{space 2} .2341542{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} 1.116184{col 70}{space 3}  2.04821
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.767716{col 29}{space 2}  .215695{col 40}{space 1}    4.67{col 49}{space 3}0.000{col 57}{space 4} 1.391713{col 70}{space 3} 2.245304
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.213883{col 29}{space 2} .1098093{col 40}{space 1}    2.14{col 49}{space 3}0.032{col 57}{space 4} 1.016661{col 70}{space 3} 1.449364
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.421673{col 29}{space 2} .3434367{col 40}{space 1}    1.46{col 49}{space 3}0.145{col 57}{space 4} .8854685{col 70}{space 3} 2.282582
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.102732{col 29}{space 2} .1339711{col 40}{space 1}    0.80{col 49}{space 3}0.421{col 57}{space 4} .8690751{col 70}{space 3} 1.399209
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  .955518{col 29}{space 2} .2367439{col 40}{space 1}   -0.18{col 49}{space 3}0.854{col 57}{space 4} .5879507{col 70}{space 3} 1.552876
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.691782{col 29}{space 2}  .442139{col 40}{space 1}    2.01{col 49}{space 3}0.044{col 57}{space 4} 1.013647{col 70}{space 3} 2.823591
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.414571{col 29}{space 2} .4478183{col 40}{space 1}    1.10{col 49}{space 3}0.273{col 57}{space 4} .7605986{col 70}{space 3} 2.630839
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6220648{col 29}{space 2} .0562599{col 40}{space 1}   -5.25{col 49}{space 3}0.000{col 57}{space 4} .5210177{col 70}{space 3} .7427092
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .7809124{col 29}{space 2}  .140437{col 40}{space 1}   -1.38{col 49}{space 3}0.169{col 57}{space 4} .5489398{col 70}{space 3} 1.110913
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.434723{col 29}{space 2} .8976437{col 40}{space 1}    2.41{col 49}{space 3}0.016{col 57}{space 4} 1.182021{col 70}{space 3} 5.015036
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.681698{col 29}{space 2} .5150445{col 40}{space 1}    1.70{col 49}{space 3}0.090{col 57}{space 4} .9226884{col 70}{space 3} 3.065073
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5634464{col 29}{space 2} .0750188{col 40}{space 1}   -4.31{col 49}{space 3}0.000{col 57}{space 4} .4340316{col 70}{space 3} .7314487
{txt}{space 12}18  {c |}{col 17}{res}{space 2}  .561745{col 29}{space 2} .1203047{col 40}{space 1}   -2.69{col 49}{space 3}0.007{col 57}{space 4} .3691848{col 70}{space 3} .8547412
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4362299{col 29}{space 2} .0371818{col 40}{space 1}   -9.73{col 49}{space 3}0.000{col 57}{space 4} .3691168{col 70}{space 3} .5155456
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .8628669{col 29}{space 2} .0746543{col 40}{space 1}   -1.70{col 49}{space 3}0.088{col 57}{space 4} .7282807{col 70}{space 3} 1.022325
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  1.86918{col 29}{space 2} .3783127{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} 1.257107{col 70}{space 3} 2.779266
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 2.160781{col 29}{space 2} .6158837{col 40}{space 1}    2.70{col 49}{space 3}0.007{col 57}{space 4} 1.235931{col 70}{space 3} 3.777698
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.631497{col 29}{space 2} .4288026{col 40}{space 1}    1.86{col 49}{space 3}0.063{col 57}{space 4} .9746914{col 70}{space 3} 2.730899
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.180694{col 29}{space 2} .3906357{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}  .617327{col 70}{space 3} 2.258186
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.197032{col 29}{space 2} .4308381{col 40}{space 1}    0.50{col 49}{space 3}0.617{col 57}{space 4} .5912067{col 70}{space 3} 2.423661
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-59700.77{col 39}-58716.73{col 50}    19{col 58} 117471.5{col 69} 117608.2
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. *
. testparm sendivide#c.pressenfloorabsdist

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.sendivide#c.pressenfloorabsdist = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   27.47
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. *
. testparm pressenfloorabsdist 1.sendivide sendivide#c.pressenfloorabsdist

{p 0 7}{space 1}{text:( 1)}{space 1} {res}pressenfloorabsdist = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} 1.sendivide = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} 1.sendivide#c.pressenfloorabsdist = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   83.71
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. 
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
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. 
. 
. 
. 
. *** COMPARISON OF COMMITTEE VERSUS CHAMBER IDEOLOGICAL MODELS [WEIBULL PARAMETRIC MODELS] *** 
. 
. 
. 
. *** MODEL 3 |SENATE COMMITTEE MEDIAN - PRESIDENT| ***
. 
. streg  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-14114.273
{txt}Iteration 1:  Log pseudolikelihood = {res}-14091.777
{txt}Iteration 2:  Log pseudolikelihood = {res}-14091.776

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14091.776}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-13949.799}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -13092.61}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-13067.546}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-13067.462}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-13067.462}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-13067.462{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .3322358{col 29}{space 2} .2383764{col 40}{space 1}   -1.54{col 49}{space 3}0.125{col 57}{space 4} .0814172{col 70}{space 3}  1.35574
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2362705{col 29}{space 2} .1349489{col 40}{space 1}   -2.53{col 49}{space 3}0.012{col 57}{space 4} .0771321{col 70}{space 3} .7237425
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 7.102962{col 29}{space 2} 4.737623{col 40}{space 1}    2.94{col 49}{space 3}0.003{col 57}{space 4} 1.921739{col 70}{space 3} 26.25334
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2}  .914681{col 29}{space 2} .8060492{col 40}{space 1}   -0.10{col 49}{space 3}0.919{col 57}{space 4} .1626151{col 70}{space 3} 5.144919
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9997547{col 29}{space 2} .0135139{col 40}{space 1}   -0.02{col 49}{space 3}0.986{col 57}{space 4} .9736158{col 70}{space 3} 1.026595
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9912814{col 29}{space 2} .0048231{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4} .9818733{col 70}{space 3}  1.00078
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8648091{col 29}{space 2} .0883769{col 40}{space 1}   -1.42{col 49}{space 3}0.155{col 57}{space 4} .7078382{col 70}{space 3}  1.05659
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003738{col 29}{space 2} .0025507{col 40}{space 1}    1.47{col 49}{space 3}0.142{col 57}{space 4} .9987515{col 70}{space 3}  1.00875
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.515586{col 29}{space 2} .2255569{col 40}{space 1}   10.29{col 49}{space 3}0.000{col 57}{space 4} 2.110169{col 70}{space 3} 2.998894
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7983014{col 29}{space 2} .0521039{col 40}{space 1}   -3.45{col 49}{space 3}0.001{col 57}{space 4} .7024417{col 70}{space 3} .9072427
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8781204{col 29}{space 2} .0687737{col 40}{space 1}   -1.66{col 49}{space 3}0.097{col 57}{space 4} .7531623{col 70}{space 3}  1.02381
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  .999947{col 29}{space 2} .0000364{col 40}{space 1}   -1.45{col 49}{space 3}0.146{col 57}{space 4} .9998756{col 70}{space 3} 1.000018
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0456647{col 29}{space 2} .0663995{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4} .0026417{col 70}{space 3} .7893778
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002445{col 29}{space 2} .0014725{col 40}{space 1}    1.66{col 49}{space 3}0.096{col 57}{space 4} .9995634{col 70}{space 3} 1.005336
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.004798{col 29}{space 2} .0454481{col 40}{space 1}    0.11{col 49}{space 3}0.916{col 57}{space 4} .9195553{col 70}{space 3} 1.097942
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9639302{col 29}{space 2} .0511406{col 40}{space 1}   -0.69{col 49}{space 3}0.489{col 57}{space 4} .8687318{col 70}{space 3} 1.069561
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6189441{col 29}{space 2} .0600541{col 40}{space 1}   -4.94{col 49}{space 3}0.000{col 57}{space 4} .5117551{col 70}{space 3} .7485842
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9361678{col 29}{space 2} .0531486{col 40}{space 1}   -1.16{col 49}{space 3}0.245{col 57}{space 4} .8375848{col 70}{space 3} 1.046354
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7541039{col 29}{space 2} .1579325{col 40}{space 1}   -1.35{col 49}{space 3}0.178{col 57}{space 4} .5002228{col 70}{space 3} 1.136839
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7693182{col 29}{space 2} .0970183{col 40}{space 1}   -2.08{col 49}{space 3}0.038{col 57}{space 4} .6008436{col 70}{space 3} .9850324
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9390745{col 29}{space 2} .0944721{col 40}{space 1}   -0.62{col 49}{space 3}0.532{col 57}{space 4} .7710243{col 70}{space 3} 1.143752
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9342489{col 29}{space 2} .0843714{col 40}{space 1}   -0.75{col 49}{space 3}0.451{col 57}{space 4} .7826924{col 70}{space 3} 1.115152
{txt}{space 9}social {c |}{col 17}{res}{space 2} .8887637{col 29}{space 2} .0778799{col 40}{space 1}   -1.35{col 49}{space 3}0.178{col 57}{space 4} .7485104{col 70}{space 3} 1.055297
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.217041{col 29}{space 2} .0851121{col 40}{space 1}    2.81{col 49}{space 3}0.005{col 57}{space 4} 1.061152{col 70}{space 3} 1.395831
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.021508{col 29}{space 2} .0558869{col 40}{space 1}    0.39{col 49}{space 3}0.697{col 57}{space 4} .9176402{col 70}{space 3} 1.137133
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8006373{col 29}{space 2} .0773406{col 40}{space 1}   -2.30{col 49}{space 3}0.021{col 57}{space 4} .6625379{col 70}{space 3} .9675221
{txt}policy_majage~y {c |}{col 17}{res}{space 2}  1.30433{col 29}{space 2} .1030858{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} 1.117156{col 70}{space 3} 1.522863
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.067329{col 29}{space 2} .1654491{col 40}{space 1}    0.42{col 49}{space 3}0.674{col 57}{space 4}  .787683{col 70}{space 3} 1.446255
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9515319{col 29}{space 2} .0892447{col 40}{space 1}   -0.53{col 49}{space 3}0.596{col 57}{space 4}  .791751{col 70}{space 3} 1.143558
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.659096{col 29}{space 2} .3251622{col 40}{space 1}    8.00{col 49}{space 3}0.000{col 57}{space 4} 2.092409{col 70}{space 3} 3.379259
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.367686{col 29}{space 2} .2675745{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4} .9320888{col 70}{space 3} 2.006854
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.661179{col 29}{space 2} .2884395{col 40}{space 1}    2.92{col 49}{space 3}0.003{col 57}{space 4}    1.182{col 70}{space 3} 2.334614
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.154306{col 29}{space 2} .1341394{col 40}{space 1}    1.23{col 49}{space 3}0.217{col 57}{space 4} .9191888{col 70}{space 3} 1.449564
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.030569{col 29}{space 2} .3250834{col 40}{space 1}    0.10{col 49}{space 3}0.924{col 57}{space 4} .5553589{col 70}{space 3} 1.912409
{txt}{space 13}9  {c |}{col 17}{res}{space 2}  .947359{col 29}{space 2} .1509469{col 40}{space 1}   -0.34{col 49}{space 3}0.734{col 57}{space 4} .6932484{col 70}{space 3} 1.294614
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7719371{col 29}{space 2} .2176892{col 40}{space 1}   -0.92{col 49}{space 3}0.359{col 57}{space 4} .4441603{col 70}{space 3} 1.341603
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.214871{col 29}{space 2} .3431928{col 40}{space 1}    0.69{col 49}{space 3}0.491{col 57}{space 4} .6983477{col 70}{space 3} 2.113435
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.260107{col 29}{space 2} .5071552{col 40}{space 1}    0.57{col 49}{space 3}0.566{col 57}{space 4} .5725644{col 70}{space 3} 2.773259
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6598796{col 29}{space 2} .0722738{col 40}{space 1}   -3.80{col 49}{space 3}0.000{col 57}{space 4} .5323978{col 70}{space 3} .8178868
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.113895{col 29}{space 2}  .266689{col 40}{space 1}    0.45{col 49}{space 3}0.652{col 57}{space 4} .6967057{col 70}{space 3} 1.780898
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.842508{col 29}{space 2} .8266046{col 40}{space 1}    1.36{col 49}{space 3}0.173{col 57}{space 4} .7647771{col 70}{space 3} 4.438989
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.315284{col 29}{space 2} .4677574{col 40}{space 1}    0.77{col 49}{space 3}0.441{col 57}{space 4} .6550957{col 70}{space 3} 2.640792
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5333731{col 29}{space 2} .0961932{col 40}{space 1}   -3.49{col 49}{space 3}0.000{col 57}{space 4}  .374557{col 70}{space 3} .7595289
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5608382{col 29}{space 2} .1663418{col 40}{space 1}   -1.95{col 49}{space 3}0.051{col 57}{space 4} .3135996{col 70}{space 3} 1.002997
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5254151{col 29}{space 2} .0621632{col 40}{space 1}   -5.44{col 49}{space 3}0.000{col 57}{space 4} .4166724{col 70}{space 3} .6625375
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9202038{col 29}{space 2} .1096887{col 40}{space 1}   -0.70{col 49}{space 3}0.485{col 57}{space 4} .7284847{col 70}{space 3} 1.162379
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.844959{col 29}{space 2} .4352585{col 40}{space 1}    2.60{col 49}{space 3}0.009{col 57}{space 4} 1.161912{col 70}{space 3} 2.929546
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.601476{col 29}{space 2} .5144948{col 40}{space 1}    1.47{col 49}{space 3}0.143{col 57}{space 4} .8532201{col 70}{space 3} 3.005937
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.534592{col 29}{space 2} .4002308{col 40}{space 1}    1.64{col 49}{space 3}0.101{col 57}{space 4} .9204378{col 70}{space 3} 2.558535
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.133633{col 29}{space 2} .4302428{col 40}{space 1}    0.33{col 49}{space 3}0.741{col 57}{space 4}   .53879{col 70}{space 3} 2.385203
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .9335867{col 29}{space 2} .4576818{col 40}{space 1}   -0.14{col 49}{space 3}0.889{col 57}{space 4} .3571588{col 70}{space 3} 2.440327
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .2580003{col 29}{space 2} .2051299{col 40}{space 1}   -1.70{col 49}{space 3}0.088{col 57}{space 4} .0543063{col 70}{space 3} 1.225717
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2}  .050449{col 29}{space 2} .0182583{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} .0146634{col 70}{space 3} .0862346
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.051743{col 29}{space 2} .0192031{col 57}{space 4} 1.014771{col 70}{space 3} 1.090062
{txt}            1/p {c |}{col 17}{res}{space 2} .9508024{col 29}{space 2}   .01736{col 57}{space 4}  .917379{col 70}{space 3} .9854436
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-14091.78{col 39}-13067.46{col 50}    19{col 58} 26172.92{col 69} 26309.69
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. *
. testparm sendivide#c.committee_pres1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]1.sendivide#c.committee_pres1 = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    8.64
{txt}{col 10}Prob > chi2 =  {res}  0.0033
{txt}
{com}. *
. testparm committee_pres1 1.sendivide sendivide#c.committee_pres1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]committee_pres1 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [_t]1.sendivide = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [_t]1.sendivide#c.committee_pres1 = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   16.71
{txt}{col 10}Prob > chi2 =  {res}  0.0008
{txt}
{com}. 
. 
. 
. *** MODEL 4 |SENATE CHAIR - PRESIDENT| ***
. 
. streg  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev, distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-14114.273
{txt}Iteration 1:  Log pseudolikelihood = {res}-14091.777
{txt}Iteration 2:  Log pseudolikelihood = {res}-14091.776

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14091.776}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -13937.88}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-13097.357}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-13072.924}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-13072.839}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-13072.839}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-13072.839{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .8947132{col 29}{space 2} .2758708{col 40}{space 1}   -0.36{col 49}{space 3}0.718{col 57}{space 4} .4889103{col 70}{space 3} 1.637339
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3803487{col 29}{space 2} .1479851{col 40}{space 1}   -2.48{col 49}{space 3}0.013{col 57}{space 4} .1774184{col 70}{space 3} .8153898
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.615428{col 29}{space 2} 1.112965{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} 1.135857{col 70}{space 3}  6.02229
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .4229917{col 29}{space 2} .3069534{col 40}{space 1}   -1.19{col 49}{space 3}0.236{col 57}{space 4}  .102009{col 70}{space 3} 1.753983
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.005293{col 29}{space 2}   .00246{col 40}{space 1}    2.16{col 49}{space 3}0.031{col 57}{space 4} 1.000483{col 70}{space 3} 1.010126
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9922507{col 29}{space 2} .0052683{col 40}{space 1}   -1.47{col 49}{space 3}0.143{col 57}{space 4} .9819786{col 70}{space 3}  1.00263
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8281649{col 29}{space 2}  .081252{col 40}{space 1}   -1.92{col 49}{space 3}0.055{col 57}{space 4} .6832894{col 70}{space 3} 1.003758
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003305{col 29}{space 2}  .002285{col 40}{space 1}    1.45{col 49}{space 3}0.147{col 57}{space 4} .9988365{col 70}{space 3} 1.007794
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.560396{col 29}{space 2} .1970263{col 40}{space 1}   12.22{col 49}{space 3}0.000{col 57}{space 4} 2.201942{col 70}{space 3} 2.977202
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7889673{col 29}{space 2}  .054805{col 40}{space 1}   -3.41{col 49}{space 3}0.001{col 57}{space 4} .6885428{col 70}{space 3} .9040389
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8601654{col 29}{space 2} .0826583{col 40}{space 1}   -1.57{col 49}{space 3}0.117{col 57}{space 4} .7125004{col 70}{space 3} 1.038434
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999626{col 29}{space 2} .0000385{col 40}{space 1}   -0.97{col 49}{space 3}0.331{col 57}{space 4} .9998871{col 70}{space 3} 1.000038
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0198839{col 29}{space 2} .0304113{col 40}{space 1}   -2.56{col 49}{space 3}0.010{col 57}{space 4} .0009923{col 70}{space 3}   .39844
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002277{col 29}{space 2} .0014809{col 40}{space 1}    1.54{col 49}{space 3}0.124{col 57}{space 4} .9993785{col 70}{space 3} 1.005183
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.003322{col 29}{space 2} .0452139{col 40}{space 1}    0.07{col 49}{space 3}0.941{col 57}{space 4} .9185048{col 70}{space 3} 1.095971
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9527189{col 29}{space 2} .0557574{col 40}{space 1}   -0.83{col 49}{space 3}0.408{col 57}{space 4} .8494712{col 70}{space 3} 1.068516
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6156968{col 29}{space 2} .0626095{col 40}{space 1}   -4.77{col 49}{space 3}0.000{col 57}{space 4} .5044396{col 70}{space 3} .7514924
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9161344{col 29}{space 2} .0570083{col 40}{space 1}   -1.41{col 49}{space 3}0.159{col 57}{space 4} .8109452{col 70}{space 3} 1.034968
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7420245{col 29}{space 2} .1522025{col 40}{space 1}   -1.45{col 49}{space 3}0.146{col 57}{space 4} .4963884{col 70}{space 3} 1.109213
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7680634{col 29}{space 2} .0986021{col 40}{space 1}   -2.06{col 49}{space 3}0.040{col 57}{space 4}  .597203{col 70}{space 3} .9878072
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9524728{col 29}{space 2} .0866274{col 40}{space 1}   -0.54{col 49}{space 3}0.592{col 57}{space 4} .7969587{col 70}{space 3} 1.138333
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9332087{col 29}{space 2} .0773385{col 40}{space 1}   -0.83{col 49}{space 3}0.404{col 57}{space 4} .7932983{col 70}{space 3} 1.097795
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9064267{col 29}{space 2} .0852197{col 40}{space 1}   -1.04{col 49}{space 3}0.296{col 57}{space 4}  .753885{col 70}{space 3} 1.089834
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.219858{col 29}{space 2} .0880689{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4} 1.058902{col 70}{space 3} 1.405279
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.020234{col 29}{space 2} .0561303{col 40}{space 1}    0.36{col 49}{space 3}0.716{col 57}{space 4} .9159442{col 70}{space 3} 1.136398
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8132311{col 29}{space 2} .0763609{col 40}{space 1}   -2.20{col 49}{space 3}0.028{col 57}{space 4}  .676531{col 70}{space 3} .9775529
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.327481{col 29}{space 2} .1095547{col 40}{space 1}    3.43{col 49}{space 3}0.001{col 57}{space 4} 1.129224{col 70}{space 3} 1.560546
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9606624{col 29}{space 2}  .112196{col 40}{space 1}   -0.34{col 49}{space 3}0.731{col 57}{space 4}  .764115{col 70}{space 3} 1.207766
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9571822{col 29}{space 2} .0692116{col 40}{space 1}   -0.61{col 49}{space 3}0.545{col 57}{space 4} .8307039{col 70}{space 3} 1.102917
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.579449{col 29}{space 2}   .35477{col 40}{space 1}    6.89{col 49}{space 3}0.000{col 57}{space 4}  1.96995{col 70}{space 3} 3.377526
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  1.32424{col 29}{space 2} .2485773{col 40}{space 1}    1.50{col 49}{space 3}0.135{col 57}{space 4} .9166108{col 70}{space 3} 1.913148
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.707164{col 29}{space 2} .2591743{col 40}{space 1}    3.52{col 49}{space 3}0.000{col 57}{space 4} 1.267796{col 70}{space 3} 2.298799
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.213742{col 29}{space 2} .1319394{col 40}{space 1}    1.78{col 49}{space 3}0.075{col 57}{space 4} .9808365{col 70}{space 3} 1.501951
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.090091{col 29}{space 2} .3439456{col 40}{space 1}    0.27{col 49}{space 3}0.785{col 57}{space 4} .5873423{col 70}{space 3} 2.023177
{txt}{space 13}9  {c |}{col 17}{res}{space 2}   .92915{col 29}{space 2} .1328129{col 40}{space 1}   -0.51{col 49}{space 3}0.607{col 57}{space 4} .7021258{col 70}{space 3}  1.22958
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7667847{col 29}{space 2} .2288735{col 40}{space 1}   -0.89{col 49}{space 3}0.374{col 57}{space 4}  .427172{col 70}{space 3} 1.376398
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.314199{col 29}{space 2} .4045594{col 40}{space 1}    0.89{col 49}{space 3}0.375{col 57}{space 4} .7188353{col 70}{space 3} 2.402662
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.285766{col 29}{space 2} .5511958{col 40}{space 1}    0.59{col 49}{space 3}0.558{col 57}{space 4} .5549576{col 70}{space 3} 2.978956
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7395716{col 29}{space 2} .0854621{col 40}{space 1}   -2.61{col 49}{space 3}0.009{col 57}{space 4}  .589683{col 70}{space 3} .9275597
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .9766238{col 29}{space 2} .2191881{col 40}{space 1}   -0.11{col 49}{space 3}0.916{col 57}{space 4} .6290545{col 70}{space 3} 1.516234
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.783979{col 29}{space 2} .8362019{col 40}{space 1}    1.23{col 49}{space 3}0.217{col 57}{space 4} .7118806{col 70}{space 3} 4.470666
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.352239{col 29}{space 2} .4996328{col 40}{space 1}    0.82{col 49}{space 3}0.414{col 57}{space 4} .6554605{col 70}{space 3} 2.789717
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5615578{col 29}{space 2} .1068755{col 40}{space 1}   -3.03{col 49}{space 3}0.002{col 57}{space 4} .3867177{col 70}{space 3} .8154454
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5117002{col 29}{space 2} .1470144{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4} .2913805{col 70}{space 3} .8986089
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5301991{col 29}{space 2} .0601115{col 40}{space 1}   -5.60{col 49}{space 3}0.000{col 57}{space 4} .4245549{col 70}{space 3} .6621314
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9486842{col 29}{space 2} .1212524{col 40}{space 1}   -0.41{col 49}{space 3}0.680{col 57}{space 4} .7384629{col 70}{space 3}  1.21875
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.754888{col 29}{space 2} .3993903{col 40}{space 1}    2.47{col 49}{space 3}0.013{col 57}{space 4}  1.12338{col 70}{space 3} 2.741398
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.468606{col 29}{space 2} .4820043{col 40}{space 1}    1.17{col 49}{space 3}0.242{col 57}{space 4} .7718563{col 70}{space 3} 2.794308
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.526475{col 29}{space 2} .4900565{col 40}{space 1}    1.32{col 49}{space 3}0.188{col 57}{space 4} .8136201{col 70}{space 3}   2.8639
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  1.24676{col 29}{space 2}  .521464{col 40}{space 1}    0.53{col 49}{space 3}0.598{col 57}{space 4} .5492418{col 70}{space 3} 2.830104
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.251875{col 29}{space 2} .5456201{col 40}{space 1}    0.52{col 49}{space 3}0.606{col 57}{space 4}  .532809{col 70}{space 3} 2.941377
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .4584011{col 29}{space 2} .4165308{col 40}{space 1}   -0.86{col 49}{space 3}0.391{col 57}{space 4} .0772312{col 70}{space 3} 2.720812
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0503182{col 29}{space 2} .0156241{col 40}{space 1}    3.22{col 49}{space 3}0.001{col 57}{space 4} .0196956{col 70}{space 3} .0809408
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.051606{col 29}{space 2} .0164304{col 57}{space 4} 1.019891{col 70}{space 3} 1.084307
{txt}            1/p {c |}{col 17}{res}{space 2} .9509268{col 29}{space 2} .0148573{col 57}{space 4} .9222483{col 70}{space 3} .9804971
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-14091.78{col 39}-13072.84{col 50}    19{col 58} 26183.68{col 69} 26320.44
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
. *
. testparm sendivide#c.chair_pres1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]1.sendivide#c.chair_pres1 = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    5.10
{txt}{col 10}Prob > chi2 =  {res}  0.0239
{txt}
{com}. *
. testparm chair_pres1 1.sendivide sendivide#c.chair_pres1

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]chair_pres1 = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [_t]1.sendivide = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [_t]1.sendivide#c.chair_pres1 = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   12.62
{txt}{col 10}Prob > chi2 =  {res}  0.0055
{txt}
{com}. 
. 
. 
. 
. *** MODEL B10 |SENATE CHAMBER MEDIAN - PRESIDENT| ***
. 
. streg  c.pressenfloorabsdist##i.sendivide   committee_pres1   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-14114.273
{txt}Iteration 1:  Log pseudolikelihood = {res}-14091.777
{txt}Iteration 2:  Log pseudolikelihood = {res}-14091.776

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14091.776}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -13929.57}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-13016.732}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12986.668}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12986.553}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12986.553}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:987,811}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-12986.553{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
pressenfloora~t {c |}{col 17}{res}{space 2} .3210788{col 29}{space 2} .1515735{col 40}{space 1}   -2.41{col 49}{space 3}0.016{col 57}{space 4} .1272858{col 70}{space 3} .8099221
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .0312288{col 29}{space 2}  .018613{col 40}{space 1}   -5.82{col 49}{space 3}0.000{col 57}{space 4} .0097101{col 70}{space 3} .1004359
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
pressenfloora~t {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 195.7503{col 29}{space 2} 151.6171{col 40}{space 1}    6.81{col 49}{space 3}0.000{col 57}{space 4} 42.89536{col 70}{space 3} 893.2947
{txt}{space 15} {c |}
committee_pres1 {c |}{col 17}{res}{space 2} .7271974{col 29}{space 2} .2514272{col 40}{space 1}   -0.92{col 49}{space 3}0.357{col 57}{space 4} .3692759{col 70}{space 3} 1.432035
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9956978{col 29}{space 2} .0117777{col 40}{space 1}   -0.36{col 49}{space 3}0.715{col 57}{space 4} .9728794{col 70}{space 3} 1.019051
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9903188{col 29}{space 2} .0046558{col 40}{space 1}   -2.07{col 49}{space 3}0.039{col 57}{space 4} .9812355{col 70}{space 3} .9994862
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7374642{col 29}{space 2} .0691458{col 40}{space 1}   -3.25{col 49}{space 3}0.001{col 57}{space 4} .6136645{col 70}{space 3} .8862392
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003608{col 29}{space 2} .0022479{col 40}{space 1}    1.61{col 49}{space 3}0.108{col 57}{space 4} .9992113{col 70}{space 3} 1.008023
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.499446{col 29}{space 2} .2132034{col 40}{space 1}   10.74{col 49}{space 3}0.000{col 57}{space 4} 2.114638{col 70}{space 3} 2.954279
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7938364{col 29}{space 2}  .053611{col 40}{space 1}   -3.42{col 49}{space 3}0.001{col 57}{space 4}  .695418{col 70}{space 3} .9061835
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8660672{col 29}{space 2} .0762686{col 40}{space 1}   -1.63{col 49}{space 3}0.103{col 57}{space 4} .7287726{col 70}{space 3} 1.029227
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999185{col 29}{space 2} .0000382{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4} .9998437{col 70}{space 3} .9999933
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .1262914{col 29}{space 2} .1850961{col 40}{space 1}   -1.41{col 49}{space 3}0.158{col 57}{space 4} .0071422{col 70}{space 3}  2.23315
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.003005{col 29}{space 2} .0015647{col 40}{space 1}    1.92{col 49}{space 3}0.054{col 57}{space 4} .9999432{col 70}{space 3} 1.006077
{txt}{space 9}female {c |}{col 17}{res}{space 2}  1.00464{col 29}{space 2} .0452741{col 40}{space 1}    0.10{col 49}{space 3}0.918{col 57}{space 4} .9197107{col 70}{space 3} 1.097413
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9683299{col 29}{space 2}  .053062{col 40}{space 1}   -0.59{col 49}{space 3}0.557{col 57}{space 4} .8697204{col 70}{space 3}  1.07812
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6152159{col 29}{space 2} .0622191{col 40}{space 1}   -4.80{col 49}{space 3}0.000{col 57}{space 4} .5045943{col 70}{space 3}  .750089
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9270348{col 29}{space 2} .0546246{col 40}{space 1}   -1.29{col 49}{space 3}0.199{col 57}{space 4} .8259234{col 70}{space 3} 1.040524
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7560768{col 29}{space 2} .1506855{col 40}{space 1}   -1.40{col 49}{space 3}0.161{col 57}{space 4} .5115901{col 70}{space 3} 1.117403
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7835933{col 29}{space 2} .0992954{col 40}{space 1}   -1.92{col 49}{space 3}0.054{col 57}{space 4}  .611263{col 70}{space 3} 1.004508
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9377583{col 29}{space 2} .0845396{col 40}{space 1}   -0.71{col 49}{space 3}0.476{col 57}{space 4} .7858767{col 70}{space 3} 1.118993
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9318823{col 29}{space 2} .0819554{col 40}{space 1}   -0.80{col 49}{space 3}0.422{col 57}{space 4} .7843343{col 70}{space 3} 1.107187
{txt}{space 9}social {c |}{col 17}{res}{space 2}  .898872{col 29}{space 2} .0761106{col 40}{space 1}   -1.26{col 49}{space 3}0.208{col 57}{space 4} .7614189{col 70}{space 3} 1.061138
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.273245{col 29}{space 2} .0937061{col 40}{space 1}    3.28{col 49}{space 3}0.001{col 57}{space 4} 1.102216{col 70}{space 3} 1.470812
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.008013{col 29}{space 2} .0541819{col 40}{space 1}    0.15{col 49}{space 3}0.882{col 57}{space 4} .9072208{col 70}{space 3} 1.120003
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7716776{col 29}{space 2} .0717522{col 40}{space 1}   -2.79{col 49}{space 3}0.005{col 57}{space 4} .6431161{col 70}{space 3} .9259392
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.295928{col 29}{space 2} .0980975{col 40}{space 1}    3.42{col 49}{space 3}0.001{col 57}{space 4} 1.117243{col 70}{space 3}  1.50319
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  1.06608{col 29}{space 2} .1429717{col 40}{space 1}    0.48{col 49}{space 3}0.633{col 57}{space 4} .8196634{col 70}{space 3} 1.386578
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.089003{col 29}{space 2} .1067143{col 40}{space 1}    0.87{col 49}{space 3}0.384{col 57}{space 4} .8987054{col 70}{space 3} 1.319594
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.314545{col 29}{space 2} .2556494{col 40}{space 1}    7.60{col 49}{space 3}0.000{col 57}{space 4} 1.864007{col 70}{space 3} 2.873981
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.651126{col 29}{space 2} .2924575{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} 1.166837{col 70}{space 3} 2.336416
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 2.002284{col 29}{space 2} .3052908{col 40}{space 1}    4.55{col 49}{space 3}0.000{col 57}{space 4} 1.485053{col 70}{space 3} 2.699663
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.331567{col 29}{space 2} .1491235{col 40}{space 1}    2.56{col 49}{space 3}0.011{col 57}{space 4} 1.069144{col 70}{space 3} 1.658402
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.532024{col 29}{space 2} .4216368{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4} .8933089{col 70}{space 3}  2.62742
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.129498{col 29}{space 2} .1751446{col 40}{space 1}    0.79{col 49}{space 3}0.432{col 57}{space 4} .8334794{col 70}{space 3} 1.530652
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .9630455{col 29}{space 2} .2618981{col 40}{space 1}   -0.14{col 49}{space 3}0.890{col 57}{space 4} .5651509{col 70}{space 3} 1.641078
{txt}{space 12}11  {c |}{col 17}{res}{space 2}  1.78051{col 29}{space 2} .4907145{col 40}{space 1}    2.09{col 49}{space 3}0.036{col 57}{space 4}  1.03741{col 70}{space 3} 3.055895
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.524476{col 29}{space 2} .5533078{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4} .7484749{col 70}{space 3} 3.105015
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6508772{col 29}{space 2}  .063096{col 40}{space 1}   -4.43{col 49}{space 3}0.000{col 57}{space 4} .5382495{col 70}{space 3}  .787072
{txt}{space 12}14  {c |}{col 17}{res}{space 2}  .737753{col 29}{space 2} .1556996{col 40}{space 1}   -1.44{col 49}{space 3}0.150{col 57}{space 4}   .48783{col 70}{space 3} 1.115715
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.624216{col 29}{space 2} 1.062408{col 40}{space 1}    2.38{col 49}{space 3}0.017{col 57}{space 4} 1.186841{col 70}{space 3} 5.802386
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.911899{col 29}{space 2} .6689863{col 40}{space 1}    1.85{col 49}{space 3}0.064{col 57}{space 4} .9629949{col 70}{space 3} 3.795825
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5033885{col 29}{space 2} .0791216{col 40}{space 1}   -4.37{col 49}{space 3}0.000{col 57}{space 4} .3699245{col 70}{space 3} .6850046
{txt}{space 12}18  {c |}{col 17}{res}{space 2}  .405754{col 29}{space 2} .0995118{col 40}{space 1}   -3.68{col 49}{space 3}0.000{col 57}{space 4} .2509021{col 70}{space 3} .6561776
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4684268{col 29}{space 2} .0442221{col 40}{space 1}   -8.03{col 49}{space 3}0.000{col 57}{space 4} .3892992{col 70}{space 3} .5636374
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9273305{col 29}{space 2} .0999475{col 40}{space 1}   -0.70{col 49}{space 3}0.484{col 57}{space 4} .7507445{col 70}{space 3} 1.145452
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  2.09533{col 29}{space 2} .4414857{col 40}{space 1}    3.51{col 49}{space 3}0.000{col 57}{space 4} 1.386451{col 70}{space 3} 3.166653
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 2.314869{col 29}{space 2} .6788212{col 40}{space 1}    2.86{col 49}{space 3}0.004{col 57}{space 4} 1.302917{col 70}{space 3} 4.112785
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.839118{col 29}{space 2} .4879435{col 40}{space 1}    2.30{col 49}{space 3}0.022{col 57}{space 4} 1.093388{col 70}{space 3} 3.093465
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.297962{col 29}{space 2} .4945201{col 40}{space 1}    0.68{col 49}{space 3}0.494{col 57}{space 4} .6151149{col 70}{space 3} 2.738845
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.238738{col 29}{space 2} .5350668{col 40}{space 1}    0.50{col 49}{space 3}0.620{col 57}{space 4}   .53126{col 70}{space 3} 2.888363
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .2279688{col 29}{space 2} .1896162{col 40}{space 1}   -1.78{col 49}{space 3}0.075{col 57}{space 4} .0446557{col 70}{space 3} 1.163789
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0618385{col 29}{space 2} .0165997{col 40}{space 1}    3.73{col 49}{space 3}0.000{col 57}{space 4} .0293035{col 70}{space 3} .0943734
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2}  1.06379{col 29}{space 2} .0176587{col 57}{space 4} 1.029737{col 70}{space 3}  1.09897
{txt}            1/p {c |}{col 17}{res}{space 2} .9400347{col 29}{space 2} .0156043{col 57}{space 4}  .909943{col 70}{space 3} .9711216
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     9,879{col 28}-14091.78{col 39}-12986.55{col 50}    19{col 58} 26011.11{col 69} 26147.87
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. *
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. testparm sendivide#c.pressenfloorabsdist

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]1.sendivide#c.pressenfloorabsdist = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   46.41
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. *
. testparm pressenfloorabsdist 1.sendivide sendivide#c.pressenfloorabsdist

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]pressenfloorabsdist = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [_t]1.sendivide = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [_t]1.sendivide#c.pressenfloorabsdist = 0{p_end}

{txt}{col 12}chi2(  3) ={res}  150.16
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. 
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. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX B RESULTS.12-23-2024.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}25 Dec 2024, 21:53:34
{txt}{.-}
{smcl}
{txt}{sf}{ul off}